LH-150
Sessions in LH-150
17 Things Developers Need to Know About Databases
This presentation addresses common issues in database use, focusing on best practices for MySQL, PostgreSQL, and MongoDB. Learn key concepts like schema design, query execution, indexing, and scalability to improve application performance, security, and efficiency. Gain the knowledge to optimize database operations and elevate your development practices.
A Billion Players, Vectors and AI, without Melting the Database!
Learn how to scale your game backend from zero to a billion players while enriching data with AI and vector embeddings for improved engagement and retention. This session covers proven patterns used by top online games, simplifying live services backends and avoiding costly, complex solutions during game development.
Empowering the State of California to adopt analytics engineering at scale
My team has trained 20+ State staff from three departments on data and analytics engineering concepts and modern data tooling like GitHub, Snowflake, and dbt Cloud.
Student Early Alert Warning Dashboard
The Student Early Alert system provides advisors with a dashboard that identifies students at risk of not graduating. The risk level is based on data from Canvas and PeopleSoft enrollment records, including academic performance, allowing for timely interventions.
Evolution of Apache Spark Structured Streaming - From Then to Now
Evolution of Apache Spark Structured Streaming, from its early micro-batching model to its modern, unified API for batch and streaming workloads. Key advancements include event-time processing, fault tolerance, and performance optimizations, enabling scalable, real-time data analytics with improved latency and throughput.