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1
Introduction
2
Data skipping num index columns
3
Moving long strings
4
Optimizing Z Order
5
SQL Partitions
6
Delta Cash staleness
7
Delta Architecture
8
Silver
9
Multidimensional curves
10
Demonstration
Description:
Explore common strategies for enhancing performance in Delta Lakehouses in this 31-minute video from Databricks. Learn techniques to improve query performance for data analysts, including data skipping, index column optimization, string handling, Z-Order optimization, SQL partitioning, and Delta Cache management. Dive into the Delta Architecture pattern and its Silver layer, and understand multidimensional curves. Watch a practical demonstration of these concepts to gain insights on analyzing queries and implementing performance-boosting measures for your Delta tables.

Common Strategies for Improving Performance on Delta Lakehouse

Databricks
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