Dynamic Talks #90 | Spark performance mastery
Iñigo San Aniceto Orbegozo, Staff Big Data Engineer at Grid Dynamics, will share information about:
🔸 How to avoid recomputation with Cache/Persist to accelerate iterative algorithms;
🔸 Optimize joins to minimize the shuffle-merge and accelerate your performance;
🔸 Identify & fix data skewness to avoid performance bottlenecks;
🔸Learn how mapPartitions can improve maps performance when heavy initialization is required.
Join us on social media!
LinkedIn - / grid-dynamics
FB - / lifeatgriddynamics
Career site - https://bit.ly/3oynyxG
#bigdata #spark