How Roblox Reduces Spark Join Query Costs With Machine Learning
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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, […]
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How Roblox Reduces Spark Join Query Costs With Machine Learning Optimized Bloom Filters : r/roblox
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PDF) The Optimization of Cost-Model for Join Operator on Spark SQL Platform
Scala-and-Spark-for-Big-Data-Analytics/data/data/Sentiment_Analysis_Dataset10k.csv at master · PacktPublishing/Scala-and-Spark-for-Big-Data-Analytics · GitHub
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What I Learned From Attending Tecton's apply() Conference — James Le
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