Everyday I'm Shuffling - Tips for Writing Better Apache Spark Programs Share: Download MP3 Similar Tracks Fine Tuning and Enhancing Performance of Apache Spark Jobs Databricks Apache Spark Core – Practical Optimization Daniel Tomes (Databricks) Databricks Advanced Apache Spark Training - Sameer Farooqui (Databricks) Spark Summit Shuffle Partition Spark Optimization: 10x Faster! Afaque Ahmad Tricks of the Trade to be an Apache Spark Rock Star - Ted Malaska Databricks Apache Spark Beyond Shuffling • Holden Karau • GOTO 2017 GOTO Conferences A Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai Databricks Top 5 Mistakes When Writing Spark Applications Spark Summit Lessons From the Field: Applying Best Practices to Your Apache Spark Applications - Silvio Fiorito Databricks Shuffling: What it is and why it's important Big Data Analysis with Scala and Spark A Tale of Three Apache Spark APIs: RDDs, DataFrames, and Datasets - Jules Damji Databricks Spark Summit 2013 - Understanding the Performance of Spark Applications - Patrick Wendell Spark Summit Optimizing for Performance & Cost on Databricks - 2023.02.01 Stephanie Alba System Design was HARD until I Learned these 30 Concepts Ashish Pratap Singh Hive Bucketing in Apache Spark - Tejas Patil Databricks Deep Dive: Apache Spark Memory Management Spark Summit Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc. Model Context Protocol (MCP), clearly explained (why it matters) Greg Isenberg A Deeper Understanding of Spark Internals - Aaron Davidson (Databricks) Spark Summit Apache Spark Performance: Past, Future, and Present with Kay Ousterhout Databricks