Advancing Spark - Data Lakehouse Star Schemas with Dynamic Partition Pruning!
Hot on the heels of last week's Spark & AI Summit announcement, Simon is digging into the new features of Spark 3.0. In this episode, we're looking at Dynamic Partition Pruning, which should dramatically speed up queries over partitioned data!
Not sure about partitioning? Don't know why you should care? Watch now!
Don't forget to like & subscribe for more sparky goodness, and check out the Advancing Analytics blog for more content! https://www.advancinganalytics.co.uk/blog
Видео Advancing Spark - Data Lakehouse Star Schemas with Dynamic Partition Pruning! канала Advancing Analytics
Not sure about partitioning? Don't know why you should care? Watch now!
Don't forget to like & subscribe for more sparky goodness, and check out the Advancing Analytics blog for more content! https://www.advancinganalytics.co.uk/blog
Видео Advancing Spark - Data Lakehouse Star Schemas with Dynamic Partition Pruning! канала Advancing Analytics
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Spark AI Summit Announcements - Delta Engine, Koalas, Hyperspace & More!
Azure Synapse Analytics: A Data Lakehouse by James Serra
Azure Synapse Analytics - Introduction to Azure Purview
Dynamic Partition Pruning | Spark Performance Tuning
Partitioning
Realizing the Vision of the Data Lakehouse | Ali Ghodsi | Keynote Spark + AI Summit 2020
Optimizing Apache Spark SQL Joins: Spark Summit East talk by Vida Ha
Dynamic Partition Pruning in Apache Spark Bogdan Ghit Databricks -Juliusz Sompolski (Databricks)
Hash Partitioning vs Range Partitioning | Spark Interview questions
Spark 3.0 Features | Dynamic Partition Pruning (DPP) | Avoid Scanning Irrelevant Data
Advancing Spark - Advanced Visuals in Databricks SQL Analytics
Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with Delta Lake
Azure Synapse Analytics - Getting Data & Orchestration
Spark Session vs Spark Context | Spark Internals
Instant Model Serving with MLFlow in Databricks
Advancing Spark - Databricks Runtime 7 4 with Constraints, Usage, Rollbacks & More!
Advancing Spark - Databricks Delta Streaming
Azure Synapse Analytics - Power BI Integration & Performance
Advancing Spark - Crazy Performance with Spark 3 Adaptive Query Execution
Advancing Spark - Data & AI Summit 2020 Roundup