Automatic Liquid Clustering:Optimized data layout for up to 10x faster queries

The Challenge of Data Volume Growth

The data world is witnessing an unprecedented increase in data volume, driven by rapid digital transformation, IoT expansion, and the proliferation of AI-powered applications. Organizations must store, process, and analyze this data efficiently while maintaining cost-effectiveness and performance. Delta Lake, an open-source storage framework that enhances the reliability and performance of data lakes, plays a crucial role in meeting these challenges. However, optimizing data storage in Delta Lake requires strategic approaches to prevent excessive storage costs, slow query performance, and inefficient data retrieval.

Manual Strategies for Optimized Storage in Delta Lake

These strategies require the manual selection of a column to activate the feature. They also entail downtime or a window to execute these strategies.

• Data Partitioning and Data Clustering
• Optimize and V-order
• Vaccum
• Delta Cache

Automated Strategies for Optimized Storage in Delta Lake

• Automatic Liquid Clustering, powered by Predictive Optimization, automates clustering key selection to continuously improve query…