Scenes from Big Data Day LA 2016 / Check out our presentations! |
About the Conference / What You Need To Know |
Big Data Day LA is the largest of its kind, and completely free, Big Data conference in Southern California. Spearheaded by Subash D’Souza and organized and supported by a community of volunteers, sponsors and speakers, Big Data Day LA features the most vibrant gathering of data and technology enthusiasts in Los Angeles.
The first Big Data Day LA conference was in 2013, with just over 250 attendees. We have since grown to over 550 attendees in 2014 and over 950 attendees in 2015. This year we expect to have over 1200 attendees!
Our 4th Annual Big Data Day LA 2016 conference was on Saturday, July 9th, 2016 at West Los Angeles College in Culver City.
Our featured tracks this year were:
– Big Data
– Data Science
– Hadoop / Spark / Kafka
– NoSQL and
– Use Case Driven
Helpful Links:
Big Data Day LA Program Brochure (PDF)
Sessions Table (Google Docs)
Attendees / See Who Will Be There |
/ Data Scientists | |
/ Software Developers | |
/ System Architects | |
/ Head Researchers | |
/ Business Strategists |
/ Data Engineers | |
/ Technical Leads | |
/ CEOs, CTOs, CIO, etc. | |
/ IT Managers | |
/ Consultants |
/ Data Analysts | |
/ Researchers | |
/ Head Data Scientists | |
/ Entrepreneurs |
Sponsors / 2016 Sponsors |
Host Sponsors
Platinum Sponsors
Gold Sponsors
Silver Sponsors
Bronze Sponsors
Partner Sponsors
Gil Elbaz is the Founder and CEO of Factual, a data company that enables developers, publishers and advertisers to build highly relevant mobile experiences using the context of location. Prior to Factual, Gil co-founded Applied Semantics Inc. (ASI), which developed contextual advertising products, including ASI's AdSense. Google acquired ASI in 2003, where Gil stayed on as the director of engineering, continuing to work on AdSense and other products. In 2008, Gil founded The Common Crawl Foundation, a non-profit with the goal of democratizing access to web information to enable greater innovation in research, business and education. He continues to serve on the board there as well as on the board of the X Prize Foundation. Gil is an active angel investor. He recently co-founded TenOneTen ventures with David Waxman, and his notable investments include Climate Corporation (acquired by Monsanto for $1.2 billion), GoodReads (acquired by Amazon), Scopely, and Kaggle. Gil earned a B.S. with a double major in Engineering & Applied Science and Economics from the California Institute of Technology.[post_title] => Gil Elbaz [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => 2016-gil-elbaz [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:46:06 [post_modified_gmt] => 2016-08-31 18:46:06 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=621 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 623 [post_author] => 8 [post_date] => 2016-04-12 01:08:47 [post_date_gmt] => 2016-04-12 08:08:47 [post_content] => Dean of the Drucker-Ito School of Management & Director of the Center for Information Systems and Technology at Claremont Graduate University (CGU). 8:50 AM FA-100
Dr. Thomas A. Horan is Dean of the Drucker-Ito School of Management, and Director of the Center for Information Systems and Technology at Claremont Graduate University (CGU). Dr. Horan has also co-directed the university’s big data and creativity-innovation initiatives. Dr. Horan’s work has been at the intersection of technology and its application. He has approximately 25 years of experience in designing, testing, and assessing major innovations. These innovations have involved cloud-based, geo-spatial, and mobile applications in health, transportation, and education sectors. He has over 130 publications, including in major journals such as Management Information Systems Quarterly, Visual Information Systems, and Communications of the ACM. Dr. Horan’s work has been featured at the US White House and his research has been sponsored by numerous organizations, including the US Department of Transportation, California HealthCare Foundation, Blue Shield Foundation, US Social Security Administration, National Science Foundation, United Nations Development Corporation, Mayo Clinic, Kay Family Foundation, Salesforce.com and Getty Leadership Institute. Dr. Horan has been a Visiting Scholar at Harvard University, Massachusetts Institute of Technology, University of Hawaii, and University of Minnesota. He has also served in numerous advisory positions in the US, Middle East, and Asia. Dr. Horan has his masters and doctoral degrees from Claremont Graduate University.[post_title] => Tom Horan [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => tom-horan [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:43:00 [post_modified_gmt] => 2016-08-31 18:43:00 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=623 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [2] => WP_Post Object ( [ID] => 655 [post_author] => 2 [post_date] => 2016-04-13 19:35:49 [post_date_gmt] => 2016-04-14 02:35:49 [post_content] => CEO & Co-Founder, Second Spectrum 10:00 AM FA-100
Rajiv Maheswaran is CEO and Co-Founder of Second Spectrum, an innovative sports analytics and data visualization startup. Prior to Second Spectrum, Rajiv served as a Research Assistant Professor within the University of Southern California’s Department of Computer Science and a Project Leader at the Information Sciences Institute at the USC Viterbi School of Engineering. He and Second Spectrum COO/Co-Founder Yu-Han Chang co-directed the Computational Behavior Group at USC. Rajiv has received numerous awards and written over 100 publications in artificial intelligence and control theory. In 2014, Rajiv won the USC Viterbi School of Engineering Use-Inspired Research Award. Also in 2014, he won Best Research Paper (Alpha Award) at the renowned MIT Sloan Sports Analytics Conference. He also won the Best Research Paper (Alpha Award) at the MIT Sloan Sports Analytics Conference In 2012. Rajiv received a B.S. degree in Applied Mathematics, Engineering and Physics from the University of Wisconsin-Madison. He also received M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. His work spans the fields of data analytics, data visualization, real-time interaction, spatiotemporal pattern recognition, artificial intelligence, decision theory and game theory.[post_title] => Rajiv Maheswaran [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => rajiv-maheswaran [to_ping] => [pinged] => [post_modified] => 2016-07-08 13:05:56 [post_modified_gmt] => 2016-07-08 20:05:56 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=655 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [3] => WP_Post Object ( [ID] => 659 [post_author] => 2 [post_date] => 2016-04-17 18:00:23 [post_date_gmt] => 2016-04-18 01:00:23 [post_content] => VP - Data Engineering & Analytics, Netflix 9:00 AM FA-100
Paul Ellwood currently leads Netflix’s Data Engineering & Analytics group. Previously, he led Netflix’s Product Analytics group and prior to that, Marketing Analytics at Rosetta, an advertising agency. Born and raised in Ohio, Paul secured his Bachelors in Systems & Control Engineering from Case Western Reserve University and his Masters in Predictive Analytics from Northwestern University. He currently lives in San Francisco with his partner, Tj, and their beagle, Torque.[post_title] => Paul Ellwood [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => paul-ellwood [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:41:51 [post_modified_gmt] => 2016-08-31 18:41:51 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=659 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 422 [post_author] => 2 [post_date] => 2015-05-30 17:57:41 [post_date_gmt] => 2015-05-31 00:57:41 [post_content] => Co-Founder, Databricks 9:40 AM FA-100
Reynold Xin is an Apache Spark PMC member and Chief Architect for Spark and co-founder at Databricks.[post_title] => Reynold Xin [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => reynold-xin [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:40:44 [post_modified_gmt] => 2016-08-31 18:40:44 [post_content_filtered] => [post_parent] => 0 [guid] => http://bigdatadayla.org/?post_type=speaker&p=422 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 170 [post_author] => 2 [post_date] => 2015-05-14 16:48:21 [post_date_gmt] => 2015-05-14 23:48:21 [post_content] => Advisor / Principal Architect at Agilisium Consulting
Mike is a senior technology adviser for the team - he is passionate about advanced analytics, including streaming analytics, ML & AI and brings over 25 years of large-scale systems design, development, and operations. Mike, previously was the Technology Leader for the AWS Solutions Architecture team here in Los Angeles, and also worked as a management consultant at various firms including Ernst & Young, & Deloitte Consulting. Mike's experience include providing large-scale systems design and advanced analytics expertise for the Defense Intelligence community. Mike has been a featured speaker at Amazon, Gartner and UCLA Anderson School of Management events. (Sponsored)[post_title] => Mike Limcaco [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => michael-limcaco [to_ping] => [pinged] => [post_modified] => 2018-08-06 07:13:21 [post_modified_gmt] => 2018-08-06 14:13:21 [post_content_filtered] => [post_parent] => 0 [guid] => http://sawjd.staging.wpengine.com/?post_type=speaker&p=170 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [6] => WP_Post Object ( [ID] => 730 [post_author] => 2 [post_date] => 2016-04-27 22:26:09 [post_date_gmt] => 2016-04-28 05:26:09 [post_content] => VP - Architecture, Yahoo 9:30 AM FA-100
Andy Feng is a VP Architecture at Yahoo, leading the architecture and design of big data and machine learning initiatives. He’s architected major platforms for personalization, ads serving, NoSQL, and cloud infrastructure.[post_title] => Andy Feng [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => andy-feng [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:38:41 [post_modified_gmt] => 2016-08-31 18:38:41 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=730 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [7] => WP_Post Object ( [ID] => 734 [post_author] => 2 [post_date] => 2016-05-02 14:11:40 [post_date_gmt] => 2016-05-02 21:11:40 [post_content] => Deputy CIO and Assistant General Manager, City of Los Angeles 9:20 AM FA-100
As a leader in open data, education, community-building, and civic innovation, Jeanne Holm empowers people to discover new knowledge and collaborate to improve life on Earth and beyond. From astronauts in orbit to rural villagers in Uganda, billions of people use her systems to find the data, information, and knowledge they need to make better decisions every day. Jeanne is the Deputy CIO and Assistant General Manager for the City of Los Angeles, where her team empowers Angelenos and City officials with technology to connect, collaborate, and inform. She is also the CIO and Director for Education for World Peace One, a charity that promotes peace and social justice through education and music. As a senior consultant with the World Bank, she empowers governments and civil society to use open data to increase prosperity and civic good. As the former Evangelist for Data.Gov (for the White House), Jeanne led collaboration and built communities with the public, educators, developers, and governments in using open government data. She also served as the Chief Knowledge Architect at NASA’s Jet Propulsion Laboratory at the California Institute of Technology. She is a Distinguished Instructor at UCLA, teaching courses in knowledge management, big data, and civic innovation. She is a Fellow of the United Nations International Academy of Astronautics, co-Chair of the Africa Open Data community, and has more than 130 publications on innovation, open data, information systems, and knowledge management.[post_title] => Jeanne Holm [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => jeanne-holm [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:39:25 [post_modified_gmt] => 2016-08-31 18:39:25 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=734 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [8] => WP_Post Object ( [ID] => 1017 [post_author] => 2 [post_date] => 2016-07-06 16:39:44 [post_date_gmt] => 2016-07-06 23:39:44 [post_content] => Enterprise Account Executive, Indeed Prime 9:10 AM FA-100
Will Thiede is a Senior Client Executive for Indeed Prime, an elite recruiting platform that matches in-demand data and software engineers with top-tier companies. Prime curates each exclusive weekly pool of unique candidates based on trending industry demand for key data skills, including Hadoop, Spark, Kafka, NoSQL, big data, and data science. Will’s background in enterprise tech account management includes previous roles at event software shop Splash and leading review site Trustpilot. He holds a bachelor’s in business management and entrepreneurship from Clemson.[post_title] => Will Thiede - Sponsored [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => will-thiede [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:44:45 [post_modified_gmt] => 2016-08-31 18:44:45 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=1017 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 9 [current_post] => -1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 621 [post_author] => 8 [post_date] => 2016-04-12 00:58:45 [post_date_gmt] => 2016-04-12 07:58:45 [post_content] => Founder & CEO, Factual 9:50 AM FA-100
Gil Elbaz is the Founder and CEO of Factual, a data company that enables developers, publishers and advertisers to build highly relevant mobile experiences using the context of location. Prior to Factual, Gil co-founded Applied Semantics Inc. (ASI), which developed contextual advertising products, including ASI's AdSense. Google acquired ASI in 2003, where Gil stayed on as the director of engineering, continuing to work on AdSense and other products. In 2008, Gil founded The Common Crawl Foundation, a non-profit with the goal of democratizing access to web information to enable greater innovation in research, business and education. He continues to serve on the board there as well as on the board of the X Prize Foundation. Gil is an active angel investor. He recently co-founded TenOneTen ventures with David Waxman, and his notable investments include Climate Corporation (acquired by Monsanto for $1.2 billion), GoodReads (acquired by Amazon), Scopely, and Kaggle. Gil earned a B.S. with a double major in Engineering & Applied Science and Economics from the California Institute of Technology.[post_title] => Gil Elbaz [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => 2016-gil-elbaz [to_ping] => [pinged] => [post_modified] => 2016-08-31 11:46:06 [post_modified_gmt] => 2016-08-31 18:46:06 [post_content_filtered] => [post_parent] => 0 [guid] => http://www.bigdatadayla.com/?post_type=speaker&p=621 [menu_order] => 0 [post_type] => speaker [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 9 [max_num_pages] => 0 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => 1 [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => [is_tax] => 1 [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => [is_privacy_policy] => [is_404] => [is_embed] => [is_paged] => [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => 2b87ab83c2578e498b19305f15acfef9 [query_vars_changed:WP_Query:private] => [thumbnails_cached] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) )
Keynote Speakers / 2016 |
All keynote talks will be held in Fine Arts 100 Auditorium
Gil Elbaz
Founder & CEO, Factual
9:50 AM FA-100
Gil Elbaz is the Founder and CEO of Factual, a data company that enables developers, publishers and advertisers to build highly relevant mobile experiences using the context of location. Prior to Factual, Gil co-founded Applied Semantics Inc. (ASI), which developed contextual advertising products, including ASI's AdSense. Google acquired ASI in 2003, where Gil stayed on as the director of engineering, continuing to work on AdSense and other products. In 2008, Gil founded The Common Crawl Foundation, a non-profit with the goal of democratizing access to web information to enable greater innovation in research, business and education. He continues to serve on the board there as well as on the board of the X Prize Foundation. Gil is an active angel investor. He recently co-founded TenOneTen ventures with David Waxman, and his notable investments include Climate Corporation (acquired by Monsanto for $1.2 billion), GoodReads (acquired by Amazon), Scopely, and Kaggle. Gil earned a B.S. with a double major in Engineering & Applied Science and Economics from the California Institute of Technology.
Tom Horan
Dean of the Drucker-Ito School of Management & Director of the Center for Information Systems and Technology at Claremont Graduate University (CGU).
8:50 AM FA-100
Dr. Thomas A. Horan is Dean of the Drucker-Ito School of Management, and Director of the Center for Information Systems and Technology at Claremont Graduate University (CGU). Dr. Horan has also co-directed the university’s big data and creativity-innovation initiatives. Dr. Horan’s work has been at the intersection of technology and its application. He has approximately 25 years of experience in designing, testing, and assessing major innovations. These innovations have involved cloud-based, geo-spatial, and mobile applications in health, transportation, and education sectors. He has over 130 publications, including in major journals such as Management Information Systems Quarterly, Visual Information Systems, and Communications of the ACM. Dr. Horan’s work has been featured at the US White House and his research has been sponsored by numerous organizations, including the US Department of Transportation, California HealthCare Foundation, Blue Shield Foundation, US Social Security Administration, National Science Foundation, United Nations Development Corporation, Mayo Clinic, Kay Family Foundation, Salesforce.com and Getty Leadership Institute. Dr. Horan has been a Visiting Scholar at Harvard University, Massachusetts Institute of Technology, University of Hawaii, and University of Minnesota. He has also served in numerous advisory positions in the US, Middle East, and Asia. Dr. Horan has his masters and doctoral degrees from Claremont Graduate University.
Rajiv Maheswaran
CEO & Co-Founder, Second Spectrum
10:00 AM FA-100
Rajiv Maheswaran is CEO and Co-Founder of Second Spectrum, an innovative sports analytics and data visualization startup. Prior to Second Spectrum, Rajiv served as a Research Assistant Professor within the University of Southern California’s Department of Computer Science and a Project Leader at the Information Sciences Institute at the USC Viterbi School of Engineering. He and Second Spectrum COO/Co-Founder Yu-Han Chang co-directed the Computational Behavior Group at USC. Rajiv has received numerous awards and written over 100 publications in artificial intelligence and control theory. In 2014, Rajiv won the USC Viterbi School of Engineering Use-Inspired Research Award. Also in 2014, he won Best Research Paper (Alpha Award) at the renowned MIT Sloan Sports Analytics Conference. He also won the Best Research Paper (Alpha Award) at the MIT Sloan Sports Analytics Conference In 2012. Rajiv received a B.S. degree in Applied Mathematics, Engineering and Physics from the University of Wisconsin-Madison. He also received M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. His work spans the fields of data analytics, data visualization, real-time interaction, spatiotemporal pattern recognition, artificial intelligence, decision theory and game theory.
Paul Ellwood
VP - Data Engineering & Analytics, Netflix
9:00 AM FA-100
Paul Ellwood currently leads Netflix’s Data Engineering & Analytics group. Previously, he led Netflix’s Product Analytics group and prior to that, Marketing Analytics at Rosetta, an advertising agency. Born and raised in Ohio, Paul secured his Bachelors in Systems & Control Engineering from Case Western Reserve University and his Masters in Predictive Analytics from Northwestern University. He currently lives in San Francisco with his partner, Tj, and their beagle, Torque.
Reynold Xin
Co-Founder, Databricks
9:40 AM FA-100
Reynold Xin is an Apache Spark PMC member and Chief Architect for Spark and co-founder at Databricks.
Mike Limcaco
Advisor / Principal Architect at Agilisium Consulting
Mike is a senior technology adviser for the team - he is passionate about advanced analytics, including streaming analytics, ML & AI and brings over 25 years of large-scale systems design, development, and operations. Mike, previously was the Technology Leader for the AWS Solutions Architecture team here in Los Angeles, and also worked as a management consultant at various firms including Ernst & Young, & Deloitte Consulting. Mike's experience include providing large-scale systems design and advanced analytics expertise for the Defense Intelligence community. Mike has been a featured speaker at Amazon, Gartner and UCLA Anderson School of Management events. (Sponsored)
Andy Feng
VP - Architecture, Yahoo
9:30 AM FA-100
Andy Feng is a VP Architecture at Yahoo, leading the architecture and design of big data and machine learning initiatives. He’s architected major platforms for personalization, ads serving, NoSQL, and cloud infrastructure.
Jeanne Holm
Deputy CIO and Assistant General Manager, City of Los Angeles
9:20 AM FA-100
As a leader in open data, education, community-building, and civic innovation, Jeanne Holm empowers people to discover new knowledge and collaborate to improve life on Earth and beyond. From astronauts in orbit to rural villagers in Uganda, billions of people use her systems to find the data, information, and knowledge they need to make better decisions every day. Jeanne is the Deputy CIO and Assistant General Manager for the City of Los Angeles, where her team empowers Angelenos and City officials with technology to connect, collaborate, and inform. She is also the CIO and Director for Education for World Peace One, a charity that promotes peace and social justice through education and music. As a senior consultant with the World Bank, she empowers governments and civil society to use open data to increase prosperity and civic good. As the former Evangelist for Data.Gov (for the White House), Jeanne led collaboration and built communities with the public, educators, developers, and governments in using open government data. She also served as the Chief Knowledge Architect at NASA’s Jet Propulsion Laboratory at the California Institute of Technology. She is a Distinguished Instructor at UCLA, teaching courses in knowledge management, big data, and civic innovation. She is a Fellow of the United Nations International Academy of Astronautics, co-Chair of the Africa Open Data community, and has more than 130 publications on innovation, open data, information systems, and knowledge management.
Will Thiede – Sponsored
Enterprise Account Executive, Indeed Prime
9:10 AM FA-100
Will Thiede is a Senior Client Executive for Indeed Prime, an elite recruiting platform that matches in-demand data and software engineers with top-tier companies. Prime curates each exclusive weekly pool of unique candidates based on trending industry demand for key data skills, including Hadoop, Spark, Kafka, NoSQL, big data, and data science. Will’s background in enterprise tech account management includes previous roles at event software shop Splash and leading review site Trustpilot. He holds a bachelor’s in business management and entrepreneurship from Clemson.
Sessions / Track & Session Info |
/ Big Data |
10:30am (GC-150)
Real-time analytics at scale with Druid
by Guillaume Torche, Big Data Engineer, GumGum
GumGum uses Druid to ingest more than 30 billion events every day, which can be queried almost as soon as they happen with a very low response time. This is a tell-all talk about GumGum's love story with Druid, how Druid works and how GumGum leverages Druid's capabilities.
11:10am (Library 4th Fl.)
Portable Stream and Batch processing with Apache Beam and Google Cloud Dataflow
by Eric Anderson, Product Manager, Google
This talk explores deploying a series of small and large batch and streaming pipelines locally, to Spark and Flink clusters and to Google Cloud Dataflow services to give the audience a feel for the portability of Beam, a new portable Big Data processing framework recently submitted by Google to the Apache foundation. This talk will look at how the programming model handles late arriving data in a stream with event time, windows, and triggers.
11:50am (GC-130)
Building scalable enterprise data flows and IoT apps using Apache NiFi
by Dhruv Kumar, Senior Solutions Architect, Hortonworks
Connecting enterprise systems has always been a tough task. Modern IoT applications have exacerbated the issue by the need to integrate legacy systems with novel high velocity data streams. Various patterns like messaging, REST, etc. have been proposed, but they necessitate rearchitecting the integration layer which is extremely arduous. In this talk we will show you how to use Apache NiFi to solve your data integration, movement and ingestion problems. Next, we will examine how Apache NiFi can be used to construct durable, scalable and responsive IoT apps in conjunction with other stream processing and messaging frameworks.
1:30pm (Library 4th Fl.)
Twitter Heron @ Scale
by Karthik Ramasamy, Engineering Manager, Twitter
Twitter generates billions and billions of events per day. Analyzing these events in real time presents a massive challenge. Twitter designed and deployed a new streaming system called Heron. Heron has been in production nearly 2 years and is widely used by several teams for diverse use cases. This talk looks at Twitter's operating experiences and challenges of running Heron at scale and the approaches taken to solve those challenges.
2:10pm (GC-160)
Warner Bros. Digital Consumer Intelligence at Scale
by Brian Kursar, VP - Data Strategy and Architecture, Warner Bros.
Warner Bros. processes billions of records each day Globally between its web assets, digital content distribution, OTT streaming services, online and mobile games, technical operations, anti-piracy programs, social media, and retail point of sale transactions. Combining these datasets with content metadata, Warner Bros. is able produce Consumer insights and affinity models that result in highly accurate Audience segments.
2:50pm (FA-100)
Rapid Analytics @ Netflix LA (Updated and Expanded)
by Chris Stephens, Senior Data Engineer, Netflix, Inc
This talk explores how Netflix equips its engineers with the freedom to find and introduce the right software for the job - even if it isn't used anywhere else in-house. Examples include how Netflix has enabled analysts to fluidly switch between MPP RDBMS and an auto-scaling Presto cluster, how Spark + NoSQL stores are used when deploying data sets to internal web apps, and how data scientists are enabled to work in the ML framework of their choosing and deploy models as a service.
3:50pm (GC-130)
Sponsored - Puree through Trillions of clicks in seconds
by Jag Srawan, Engineer, Interana
Interana is a full stack analytics solution that provides lightening fast querying capabilities using a proprietary storage format. Interana was designed to utilize best of both in-memory and disk architectures. This talk serves as an introduction to concepts on event data and utilizing advanced behavior analysis built into Interana. The attendee will gain knowledge about how to model their data effectively using our full service solution.
4:30pm (Library 4th Fl.)
How To Use Impala and Kudu To Optimize Performance for Analytic Workloads
by David Alves, Software Engineer, Cloudera
This session describes how Impala integrates with Kudu for analytic SQL queries on Hadoop and how this integration, taking full advantage of the distinct properties of Kudu, has significant performance benefits.
5:10pm (GC-150)
Apply R in Enterprise Applications
by Louis Bajuk-Yorgan, Sr. Director, Product Management, TIBCO Software Inc.
Prototypes are typically re-implemented in another language due to compatibility issues with R in the enterprise, but TIBCO Enterprise Runtime for R (TERR) allows the language to be run on several platforms. Enterprise-level scalability has been brought to the R language, enabling rapid iteration without the need to recode, re-implement and test. This presentation will delve further into these topics, highlighting specific use cases and the true value that can be gained from utilizing R. The session will be followed by a lively, open Q&A discussion.
5:50pm (GC-130)
Fluentd and Embulk: Collect More Data, Grow Faster
by Kazuki Ohta, Chief Technology Officer, Treasure Data
Since Doug Cutting invented Hadoop and Amazon Web Services released S3 ten years ago, we've seen quite a bit of innovation in large-scale data storage and processing. These innovations have enabled engineers to build data infrastructure at scale, many of them fail to fill their scalable systems with useful data, struggling to unify data silos or failing to collect logs from thousands of servers and millions of containers. Fluentd and Embulk are two projects that I've been involved to solve the unsexy yet critical problem of data collection and transport. In this talk, I will give an overview of Fluentd and Embulk and give a survey of how they are used at companies like Microsoft and Atlassian or in projects like Docker and Kubernetes.
/ Data Science |
10:30am (GC-160)
Data storytelling for impact
by Dave Goodsmith, Data Scientist, DataScience Inc.
How can our data make the biggest impact? How do we find the stories worth sharing buried in our analytics? How important are visuals, hooks, connections, content? As data science and journalism have co-evolved, the potential for effectively communicating with data has skyrocketed. We'll look at case studies of impactful data stories and share the process for developing data stories that drive action.
11:10am (GC-130)
Decision Making and Lambda Architecture
by Girish Kathalagiri, Staff Engineer, Samsung SDS Research America
Online decision making over time needs interacting with an ever changing environment and underlying machine learning models need to change and adapt to this changing environment. This talk discusses class of machine learning algorithms and provides details of how the computation is parallelized using the Spark framework.
11:50am (FA-100)
Sponsored - Data Science + Hollywood
by Todd Holloway, Director Of Content Science & Algorithms, Netflix; Conor Dowling, Content Analytics Manager At Netflix
Netflix will spend six billion dollars this year on content, making the company a major player in Hollywood. An increasing portion of this spend will be on original shows such as House of Cards, and original movies such as Beasts of No Nation. As we continue to expand our involvement with Hollywood, we want to leverage data and data science to make the best decisions possible. This talk will explore areas where we see the most opportunity to apply data science to Hollywood, and some early approaches we've taken.
1:30pm (FA-100)
Enabling Cross-Screen Advertising with Machine Learning and Spark
by Debajyoti (Deb) Ray, Chief Data Officer, VideoAmp
With content now viewed seamlessly across multiple screens, this shift in consumer behavior/consumption has come to a head with the way advertising is sold - separately in TV and online silos - creating an opportunity to make advertising more effective using data and machine learning. This talk explores technological developments at VideoAmp that bring together data from disparate mediums and creates cross-screen audience models using ML methods for cross-screen bid optimization, and graph based audience models for 150 Million users, across over a billion unique device IDs, as well as behavioral insights gleaned from observing such a large variety of data.
2:10pm (Library 4th Fl.)
The right tool for the job: Guidelines for algorithm selection in predictive modeling
by Derek Wilcox, Senior Data Scientist, ZestFinance
The goal of this talk to lay out a framework for what algorithms work best in which situations, and why. Drawing on results of hundreds of crowd-sourced predictive modeling contests, this talk shows examples of how structure informs a choice in algorithm. As an illustration of these concepts, ZestFinance's work with China's retail giant, JD.com is used to describe how the right algorithms were applied to the right datasets to turn shopping data into credit data -- creating credit scores from scratch.
2:50pm (GC-160)
Stream processing with R and Amazon Kinesis
by Gergely Daroczi, Director of Analytics, CARD.com
This talk presents an original R client library to interact with Amazon Kinesis via a simple daemon to start multiple R sessions on a machine or cluster of nodes to process data from theoretically any number of shards, and will also feature some demo micro-applications streaming dummy credit cards transactions, enriching this data and then triggering other data consumers for various business needs, such as scoring transactions, updating real-time dashboards and messaging customers. Besides the technical details, the motives behind choosing R and Kinesis will be also covered, including a quick overview on the related data infrastructure changes at CARD.
3:50pm (FA-100)
Sponsored - The Evolving Data Science Landscape
by Kyle Polich, Principal Consulting Engineer, Datascience
The impact of data science on business is undeniable, and the value it provides is growing without signs of slowing. To keep up with this rapidly evolving technology landscape, data scientists must adapt and specialize through continuous learning. This talk focuses on how they can do that in a way that maximizes the positive impact data science will have on their organization.
4:30pm (GC-130)
Affinity Marketing Leveraging Crowdsourced Psychographics
by Ravi Iyer, Chief Data Scientist, Ranker; Glenn Walker, COO, Ranker
The most important variables to use to discover your best future customers are increasingly psychological. Borrowing techniques from psychometrics, this talk shows how marketers can use disparate online data sources to measure the right psychographic variables in order to maximize both performance and scale.
5:10pm (FA-100)
Intuit's Payments Risk Platform
by Dusan Bosnjakovic, Data Scientist, Intuit; Boris Belyi, Manager - Risk Analytics, Intuit
This talk explores the path taken at Intuit, the maker of TurboTax, Mint and Quickbooks, to operationalize predictive analytics and highlights automations that have allowed Intuit to stay ahead of the fraud curve.
5:50pm (GC-150)
Backstage to a Data Driven Culture: Your Data Science and Analytics Stack
by Pauline Chow, Consultant / Lead Data Science Instructor @ General Assembly
When you're the first data professional at the organization there are technical, process, and qualitative considerations for analytics and data science to address (A/DS). This talk is an overview of strategy, infrastructure, and tools for creating your first A/DS stacks. At this stage, the range of problems that you are able to solve relate to organization, operational, data engineering, business intelligence, and communication. Creating the optimal A/DS stack can seamlessly pave the way to big data and integrating the newest technologies in the future. Please share your stories and experience with us as well. Outline of talk, where sections intend to be interactive and get feedback from the audience:
1. So you're the first Data Scientist
2. Setting Their Expectations
3. Lay of the Land - Data requirements and organizational survey
4. Setting Your Expectations
5. Infrastructure - Your Stack Options
6. Resources: Get Help, Get a Team
7. Discussion
1. So you're the first Data Scientist
2. Setting Their Expectations
3. Lay of the Land - Data requirements and organizational survey
4. Setting Your Expectations
5. Infrastructure - Your Stack Options
6. Resources: Get Help, Get a Team
7. Discussion
/ Hadoop / Spark / Kafka |
10:30am (FA-100)
Real-time Aggregations, Approximations, Similarities, and Recommendations at Scale using Spark Streaming, ML, GraphX, Kafka, Cassandra, Docker, CoreNLP, Word2Vec, LDA, and Twitter Algebird
by Chris Fregly, Research Scientist, PipelineIO
Live, Interactive Recommendations Demo
Spark Streaming, ML, GraphX, Kafka, Cassandra, Docker, CoreNLP, Word2Vec, LDA, and Twitter Algebird (advancedspark.com). Types of Similarity - Euclidean vs. Non-Euclidean, Similarity, Jaccard Similarity, Cosine Similarity, LogLikelihood Similarity, Edit Distance. Text-based Similarities and Analytics - Word2Vec, LDA Topic Extraction, TextRank, Similarity-based Recommendations, User-to-User, Content-based, Item-to-Item (Amazon), Collaborative-based, User-to-Item (Netflix), Graph-based, Item-to-Item ""Pathways"" (Spotify). Aggregations, Approximations, and Similarities at Scale - Twitter Algebird, MinHash and Bucketing, Locality Sensitive Hashing (LSH), BloomFilters, CountMin Sketch, HyperLogLog
Spark Streaming, ML, GraphX, Kafka, Cassandra, Docker, CoreNLP, Word2Vec, LDA, and Twitter Algebird (advancedspark.com). Types of Similarity - Euclidean vs. Non-Euclidean, Similarity, Jaccard Similarity, Cosine Similarity, LogLikelihood Similarity, Edit Distance. Text-based Similarities and Analytics - Word2Vec, LDA Topic Extraction, TextRank, Similarity-based Recommendations, User-to-User, Content-based, Item-to-Item (Amazon), Collaborative-based, User-to-Item (Netflix), Graph-based, Item-to-Item ""Pathways"" (Spotify). Aggregations, Approximations, and Similarities at Scale - Twitter Algebird, MinHash and Bucketing, Locality Sensitive Hashing (LSH), BloomFilters, CountMin Sketch, HyperLogLog
11:10am (FA-100)
Iterative Spark Development at Bloomberg
by Nimbus Goehausen, Senior Software Engineer, Bloomberg
This presentation will explore how Bloomberg uses Spark, with its formidable computational model for distributed, high-performance analytics, to take this process to the next level, and look into one of the innovative practices the team is currently developing to increase efficiency: the introduction of a logical signature for datasets.
11:50am (Library 4th Fl.)
Alluxio (formerly Tachyon): An Open Source Memory Speed Virtual Distributed Storage
by Gene Pang, Software Engineer/ Founding Member At Alluxio
Alluxio, formerly Tachyon, is a memory speed virtual distributed storage system. The Alluxio open source community is one of the fastest growing open source communities in big data history with more than 300 developers from over 100 organizations around the world. In the past year, the Alluxio project experienced a tremendous improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace. Alluxio now supports a wide range of under storage systems, including Amazon S3, Google Cloud Storage, Gluster, Ceph, HDFS, NFS, and OpenStack Swift. This year, our goal is to make Alluxio accessible to an even wider set of users, through our focus on security, new language bindings, and further increased stability.
1:30pm (GC-150)
Data Provenance Support in Spark
by Matteo Interlandi, Postdoc, UCLA
Debugging data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. To aid this effort, we built Titian, a library that enables data provenance tracking data through transformations in Apache Spark.
2:10pm (GC-130)
Introduction to Kafka
by Jesse Anderson, CEO, Smoking Hand
An introduction to what Kafka is, the concepts behind it and its API.
2:50pm (Library 4th Fl.)
Building an Event-oriented Data Platform
by Eric Sammer, CTO & Co-Founder, Rocana
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes per day of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. This session is especially recommended for data infrastructure engineers and architects planning, building, or maintaining similar systems.
4:00pm - 5:00pm (GC-150)
Panel - Interactive Applications on Spark?
by Raj Babu, CEO at AgileISS - Moderator; Raymond Fu, Practice Architect at Trace3 - Panelist; David Levinger, Sr. Director Information Technology at Paxata - Panelist
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
5:10pm (GC-160)
Why is my Hadoop cluster slow?
by Bikas Saha, Software Engineer, Hortonworks
This talk draws on our experience in debugging and analyzing Hadoop jobs to describe some methodical approaches to this and present current and new tracing and tooling ideas that can help semi-automate parts of this difficult problem.
5:50pm (FA-100)
Deep Learning at Scale
by Alexander Kern, Co-founder / CTO, Pavlov
The advent of modern deep learning techniques has given organizations new tools to understand, query, and structure their data. However, maintaining complex pipelines, versioning models, and tracking accuracy regressions over time remain ongoing struggles of even the most advanced data engineering teams. This talk presents a simple architecture for deploying machine learning at scale and offer suggestions for how companies can get their feet wet with open source technologies they already deploy.
/ NoSQL |
10:30am (GC-130)
Real Life IoT Architecture
by Dinesh Srirangpatna, Big Data Strategist, Microsoft
Learn how to benefit from IoT (internet of things) to reduce costs and spur transformation for your company and clients. Attendees will learn about building blocks to create an IoT solution, and walk through real life architectural decisions in building a solution.
11:10am (GC-150)
Amazon DynamoDB - Focus on Your Data and Leave Ops to Someone Else
by Michael Limcaco, Principal Solutions Architect, Amazon Web Services (AWS)
This talk explores features and benefits of Amazon DynamoDB, a fully managed NoSQL database service, in detail, and discusses how to get the most out of DynamoDB, in addition to design best practices with DynamoDB across multiple use cases.
11:50am (GC-160)
Sponsored - Spark And Couchbase: Augmenting The Operational Database With Spark
by Matt Ingenthron, Senior Director Engineering At Couchbase
For an operational database, Spark is like Batman’s utility belt: it handles a variety of important tasks from data cleanup and migration to analytics and machine learning that make the operational database much more powerful than it would be on its own. In this talk, we describe the Couchbase Spark Connector that lets you easily integrate Spark with Couchbase Server, an open source distributed NoSQL document database that provides low latency data management for large scale, interactive online applications. We’ll start with common use cases for Spark and Couchbase, then cover the basics of creating, persisting and consume RDDs and DataFrames from Couchbase’s key/value and SQL interfaces.
1:30pm (GC-130)
Using Redis Data Structures to Make Your App Blazing Fast
by Adi Foulger, Solution's Architect, Redis Labs
Open Source Redis is not only the fastest NoSQL database but also the most popular among the new wave of databases running in containers. This talk introduces the data structures used to speed up applications and solve the everyday use cases that are driving Redis' popularity.
2:10pm (GC-150)
Apache Kudu: Fast Analytics on Fast Data
by Dan Burkert, Software Engineer, Cloudera
Apache Kudu (incubating) is a new storage engine for the Hadoop ecosystem that enables extremely high-speed analytics without imposing data-visibility latencies. This talk provides an introduction to Kudu, and provides an overview of how, when, and why practitioners use Kudu as a platform for building analytics solutions.
2:50pm (GC-150)
Big Data and Real Estate
by Jon Zifcak MBA, MSIM, CEO, Zulloo Inc.; Anton Polishko, CTO, Zulloo Inc.;
The real estate industry is generating terabytes of data, but a very small percentage is being utilized or processed. ZULLOO Inc. is creating a artificial intelligence engine utilizing big data and machine learning. The question is, why aren't more data scientists exploring the real estate industry when it represents 15% of the US GDP, measured in the Trillions?
3:50pm (Library 4th Fl.)
Sponsored - Analytics at the Speed of Light with Redis and Spark
by Dave Neilsen, Developer Relations at RedisLabs
Spark is in-memory, Redis is in-memery. The Spark-Redis connector gives Spark access to Redis' data structures as RDDs. Redis, with its blazing fast performance and optimized in-memory data structures, reduces Spark processing time by up to 98%. In this talk, Dave will share the top use cases for Spark-Redis such as time-series, recommendations and real-time bid management.
4:30pm (FA-100)
Introduction to Graph Databases
by Oren Golan, VP of Engineering, Sanguine
Many organizations have adopted graph databases - IoT, health care, financial services, telecommunications and governments. This talk, based on our research and implementation of a graph database at Sanguine, a startup based in LA, dives into a few use cases and equips attendees with everything they need to start using a graph database.
5:10pm (GC-130)
MongoDB 3.2 Goodness!!!
by Mark Helmstetter, Principal Consulting Engineer, MongoDB
This talk explores the new features of MongoDB 3.2 such as $lookup, document validation rules, encryption-at-rest and tools like the BI Connector, OpsManager 2.0 and Compass.
5:50pm (Library 4th Fl.)
Privacy vs. Security in a Big Data World
by Tamara Dull, Director of Emerging Technologies, SAS Institute
The jury is still out on whether Edward Snowden was a hero, traitor, or schmuck. Regardless of the scarlet letter we want to hang around his neck, we should thank him for helping bring the discussion of big data privacy and security to the public square. This session examines the issues of big data privacy and security in the context of the six-stage (big) data lifecycle: create, store, use, share, archive, and destroy.
/ Use Case Driven |
10:30am (Library 4th Fl.)
Reliable Media Reporting in an Ever-changing Data Landscape
by Josh Andrews, Data & Analytics Architect, OnPrem; Rachel Kelley, Project Manager , OnPrem and Eric Avila, Senior Anti-Piracy Technologist, NBC Universal
OnPrem Solution Partners worked with NBCU to profile in-house data to determine data quality, and recommend process and quality improvements. We present our process for data import, improvements we want to make, and lessons learned regarding various tools used, including MariaDB, ElasticSearch, Cassandra, and others.
11:10am (GC-160)
The Encyclopedia of World Problems
by Christine Zhang, Data Journalist, Knight-Mozilla @ LA Times
Born more than four decades ago from the partnership of two international NGOs in Brussels, the Encyclopedia of World Problems has hand-picked and refined profiles of tens of thousands of problems occurring around the world: from notorious global issues all the way down to very specific and peculiar ones. This talk presents an overview of the Encyclopedia and the interesting data science applications that have arisen from the Encyclopedia's body of work - notably, its database resources.
11:50am (GC-150)
Sponsored - BI is broken
by Dave Fryer, Product Advocate at Domo
Not all BI solutions are created equal. The problem in most organizations is that disparate systems hold data hostage. Most systems create barriers between the data and the people who need the data to make decisions. We create silos of data that do not give us a holistic view of how the organization is operating. Domo is breaking down these silos and giving business users unparalleled access to the data they need to optimize their business.
1:30pm (GC-160)
Dealing with Data Discomfort: Getting Bureaucrats to Embrace Data and Analytics
by Juan Vasquez, Communications & Data Analyst, Mayor's Operations Innovation Team at City of Los Angeles
Government is traditionally known for red tape, stuffy hierarchies, endless policies, and clashing priorities. These and other variables make it difficult for government entities to embrace change and innovation, and more importantly apprehensive about peeling back the layers and letting data tell the stories.
So how do you change that? In this talk we'll discuss how the Mayor's Operations Innovation Team is leveraging storytelling, education, public-private partnerships, and data visualization technologies to help LA embrace data.
2:10pm (FA-100)
Data and Hollywood: "Je t'Aime ... Moi Non Plus"
by Yves Bergquist, Project Director, "Data & Analytics", USC - Entertainment Technology Center
Application of machine learning to problems such as script and story analysis, audience segmentation, and security, is revolutionizing the way Hollywood is creating and marketing entertainment.
2:50pm (GC-130)
Hydrator: Open Source, Code-Free Data Pipelines
by Jon Gray, CEO, Cask Data
This talk will present how to build data pipelines with no code using the open-source, Apache 2.0, Cask Hydrator. The talk will continue with a live demonstration of creating data pipelines for two use cases.
3:50pm (GC-160)
Sponsored - From Clusters to Clouds, Hardware Still Matters
by Eric Lesser, Director of Operations at PSSC Labs
Today’s Software Defined environments attempt to remove the weakness of computing hardware from the operational equation. There is no doubt that this is a natural progress away from overpriced, proprietary compute and storage layers. However, even at the heart of any Software Defined universe is an underlying hardware stack that must be robust, reliable and cost effective. Our 20+ years experience delivering over 2000 clusters and clouds has taught us how to properly design and engineer the right hardware solution for Big Data, Cluster and Cloud environments. This presentation will share this knowledge allowing user to make better design decisions for any deployment.
4:30pm (GC-160)
How to Use Design Thinking to Jumpstart Your Big Data Projects
by Peter Reale, Solutions Engineer, Datameer
There is a novel approach to identifying big data use cases, one which will ultimately lower the barrier to entry to big data projects and increase overall implementation success. This talk describes the approach used by big data pioneer and Datameer CEO Stefan Groschupf to drive over 200 production implementations.
5:10pm (Library 4th Fl.)
Shaping the Role of Data Science: An Evolution towards Prescriptive Analytics as Key Driver in Revenue Acceleration
by Thomas Sullivan, Chief Data Scientist, IRIS.TV
At IRIS.TV, our business builds algorithmic solutions for video recommendation with the end goal to deliver a great user experience as evidenced by users viewing more video content. This talk outlines our reasons for expanding from a descriptive/predictive approach to data analytics toward a philosophy that features more prescriptive analytics, driven by our data science team.
5:50pm (GC-160)
Raising Venture Capital for Data Driven Startups
by Austin Clements, Associate, TenOneTen Ventures
Get an inside look into how VCs evaluate your team, market, and product before making an investment decision. Learn how to identify the right investors for your business and how to stand out from the crowd.
Session Speakers / 2016 |
Adi Foulger
Solutions Architect at Redis Labs
Alexander Kern
Co-Founder/ CTO at Pavlov
Anton Polishko
CTO at Zulloo
Austin Clements
Associate at TenOneTen Ventures
Bikas Saha
Software Engineer At Hortonworks
Boris Belyi
Manager, Risk Analytics, Intuit, Inc
Brian Kursar
VP, Data Strategy & Architecture At Warner Bros
Chris Fregly
Research Scientist at PipelineIO
Chris Stephens
Data Engineering Manager at Netflix
Christine Zhang
Research Fellow at Los Angeles Times
Conor Dowling
Content Analytics Manager at Netflix
Dan Burkert
Software Engineer at Cloudera
Dave Fryer
Product Advocate at Domo
Dave Goodsmith
Senior Data Scientist at DataScience, Inc.
Dave Neilsen
Developer Relations at RedisLabs
David Alves
Software Engineer at Cloudera
David Levinger
Sr. Director Information Technology at Paxata
Debajyoti (Deb) Ray
Chief Data Officer at VideoAmp
Derek Wilcox
Data Scientist at ZestFinance
Dhruv Kumar
Senior Solutions Architect at Hortonworks
Dinesh Srirangpatna
Data Solutions Architect at Microsoft
Dusan Bosnjakovic
Data Scientist at Intuit
Eric Anderson
Product Manager at Google
Eric Avila
Senior Anti Piracy Technologist at NBC Universal
Eric Lesser
Director of Operations at PSSC Labs
Eric Sammer
CTO and co-founder at Rocana
Gene Pang
Software Engineer/ Founding Member at Alluxio
Gergely Daroczi
Director of Analytics at CARD.com
Girish Kathalagiri
Staff Engineer at Samsung SDS Research America
Glenn Walker
COO at Ranker
Guillaume Torche
Big Data Engineer at GumGum
Jag Srawan
Engineer at Interana
Jesse Anderson
CEO at Smoking Hand
Jon Zifcak, MBA, MSIM
CEO at Zulloo Inc.
Jonathan Gray
CEO At Cask
Josh Andrews
Data & Analytics Architect at OnPrem Solution Partners
Juan Vasquez
Data Programs Manager at City of Los Angeles Office of Finance
Karthik Ramasamy
Co-Founder & Chief Product Officer at Streamlio
Kazuki Ohta
Chief Technology Officer at Treasure Data, Inc.
Kyle Polich
Principal Data Scientist At DataScience, Inc
Louis Bajuk-Yorgan
Senior Director pf Product Management at TIBCO
Mark Helmstetter
Principal Consulting Engineer at MongoDB
Matt Ingenthron
Senior Director Engineering at Couchbase
Matteo Interlandi
PostDoc at UCLA
Nimbus Goehausen
Senior Software Engineer at Bloomberg
Oren Golan
VP Software Engineering at Sanguine
Pauline Chow
Consultant / Lead Data Science Instructor @ General Assembly
Peter Reale
Solutions Engineer at Datameer
Rachel Kelley
Manager at OnPrem Solution Partners
Raj Babu
CEO At Agilisium
Ravi Iyer
Chief Data Scientist at Ranker
Raymond Fu
Practice Architect at Trace3
Tamara Dull
Director of Emerging Technologies at SAS
Thomas Sullivan
Chief Data Scientist at IRIS.TV
Todd Holloway
Director of Content Science & Algorithms at Neflix
Yves Bergquist
Director, Data & Analytics Program at USC/ETC
Volunteers / 2016 Organizer |
Subash D’Souza
Organizer, Sponsors Co-Chair
Volunteers / 2016 Committee Leaders |
Abraham Elmahrek
Sessions Co-Chair
Arti Annaswamy
Technology Co-Chair
Austin Clements
Location Liasion
Clarissa Pinto Ribeiro
Sponsors Co-Chair
Eduardo Ariño de la Rubia
Sessions - Data Science Co-Chair
Eric Lui
Registration Chair
Jimmy Kim
Locations & Catering Co-Chair
John Kim
Locations & Catering Co-Chair
Kaloyan Todorov
Registration Co-Chair
Michael Chiang
Location Vice Chair
Oszie Tarula
Food/Beverages Chair
Priyanka Biswas, Ph.D
Marketing Co-Chair
Rich Ung
Technology Co-Chair
Subash D’Souza
Organizer, Sponsors Co-Chair
Szilard Pafka
Sessions (Data Science) Chair
Weixiang Chen
Marketing Chair
Volunteers / 2016 Volunteers |
Abraham Elmahrek
First Employee at FOSSA, Inc.
Alex Hon
Student at USC
Amit Yakhmi
Business Development
Annie Chen
Cyber Security Sales Intern at Novacoast
Anthony James
Data Scientist at Southern California Edison
Armen Donigian
Lead Data Engineer at ZestFinance
Arnold Borres
Associate Software Architect at UST Global
Arti Annaswamy
Manager, Global Ops at Warner Bros
Ben Perlmutter
Sales Engineer at Xplenty
Brandon Brooks
Technical Recruiter at Teradata
Brian Cottrell
Mobile Software Engineer at DIRECTV
Cecilia Luo
MS Business Analytics candidate
Charalampos (Harry) Papadimitriou
Data Scientist at DataScience.com
Chen Zou
Business Analyst at Machinima
Clarissa Pinto Ribeiro
Technical Recruiter at Crescent Solutions
Cris Manlangit
Student at San Diego State University-California State University
Cristina Salajan
Project Manager at Farmers Insurance
Dan Gutierrez
Data Scientist at AMULET Analytics
Darryl Nousome
Doctoral Student at USC
Dave Nielsen
Cloud Computing Evangelist & Consultant
Dharmesh Soni
Summer Intern
Dinesh Srirangpatna
Data Solution Architect at Microsoft
Dominique (Nikki) Castle
Associate Insights Analyst at DataScience, Inc
Eric Lui
VP, Engineering at Second Spectrum
Eric Schimansky
Group Manager at Avanade
Frank Solomon
Chief Blogger at bitvectors.blogspot.com
Greg Sweeney
Enterprise Software Leader at TechTrends.biz
Guan Zhou
Student at UCLA
Jae Lim
Analytic Programmer/ Investor/ Thinker
Jason Brancazio
Software Engineer, Data Services at Red Bull Media House
Jason Geng
Co-Founder at Data Applications Lab
Jenny Wang
Data Wrangler at Koss REsource
Jimmy Kim
Enterprise Account Executive at Spectrum Enterprise
Jin Wu
Emerging Technologies Librarian at USC
Jing Pan
Statistical Data Analyst
Joe Devon
Entrepreneur & Advisor in the Tech Space
John Kim
VP, Operations at Captive Eight
John Zhang
PhD Candidate at UCLA
Jovany Diaz
Accounting Systems Analyst I at Los Angeles County Auditor-Controller
Kaloyan Todorov
Senior Data Scientist at Fama
Kelly Thomassen
Coordinator at AdoptTogether.org
Kyle Walker
Lead Engineer at ZEFR
Manish Dwibedy
Graduate student at USC
Michael Chiang
Founder at Eleven Recruiting
Nandan Chandrashekhar
Data Scientist at DeepCurrent
Nicholson Alforque
Autozoner at AutoZone
Nithin Reddy
Senior Software Engineer at Enplug, Inc.
Omar Atayee
Sales Engineer at Mashape
Oswald Jones
Lead Engineer at Griddy
Oszie Tarula
Web Manager at UCLA
Priyanka Biswas
PhD candidate at USC
Priyanka Kale
Software Engineer
Raj Babu
CEO at Agilisium
Ravin Kumar
Supply Chain Systems Engineer II at SpaceX
Rich Ung
Data Engineer at Disney ABC Television Group
Ryan Lampert
Founder at LiftedPresence
Sanjeev Sehgal
SVP Sales Satwic
Santhosh Sunkara
Graduate student at Oklahoma State University
Shashidhar Desai
Software Engineer in Test at Zefr
Simon Lee
Senior Strategic Relations Executive at Captive Eight
Siva Bhavanari
Senior Data Engineer
Sooraj Akkammaddam
ETL Architect at Core Digital Media
Spandan Karamchedu
Software Developer in Test at Velocify
Stella Shao
MS Business Analytics Candidate, USC Marshall School of Business
Subash D’Souza
Director of Big Data at Warner Bros
Vivian Li
Data Scientist at Enervee
Weixiang Chen
Founder at NewMet Data
William Mo
Partner Business Development at NovaStor
Xi Wang
Senior Data Scientist at Fama
Yunyun Dai
Senior Researcher at USC
