How Roblox Reduces Spark Join Query Costs With Machine Learning
Por um escritor misterioso
Last updated 20 setembro 2024
Abstract Every day on Roblox, 70 million users engage with millions of experiences, totaling 16 billion hours quarterly. This interaction generates a petabyte-scale data lake, which is enriched for analytics and machine learning (ML) purposes. It’s resource-intensive to join fact and dimension tables in our data lake, so to optimize this and reduce data shuffling, […]
The secret to reduce Spark applications costs, by P Platter, Agile Lab Engineering
Cost Based Optimizer in Apache Spark 2.2, by Jules S. Damji, Databricks Engineering
How does Apache Spark 3.0 increase the performance of your SQL workloads - Cloudera Blog
Reinforcement Learning from scratch, by Emmanuel Ameisen
Product & Tech Archive - Roblox Blog
Spark SQL Query Engine Deep Dive (11) – Join Strategies – Azure Data Ninjago & dqops
Discussion: Sponsored ROBLOX Events – ROBLOX Space – A ROBLOX Blog
Saying Goodbye To Tickets! – ROBLOX Space – A ROBLOX Blog
Advanced Spark SQL Joins: an Optimization Technique - Knoldus Blogs
Advanced Spark SQL Joins: an Optimization Technique - Knoldus Blogs
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