Session
Selectively Overwrite Data With Delta Lake’s Dynamic Insert Overwrite
Overview
Experience | In Person |
---|---|
Type | Lightning Talk |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology, Health and Life Sciences, Financial Services |
Technologies | Apache Spark, Delta Lake, Databricks SQL |
Skill Level | Beginner |
Duration | 20 min |
Dynamic Insert Overwrite is an important Delta Lake feature that allows fine-grained updates by selectively overwriting specific rows, eliminating the need for full-table rewrites.
For examples, this capability is essential for:
- DBT-Databricks' incremental models/workloads, enabling efficient data transformations by processing only new or updated records
- ETL Slowly Changing Dimension (SCD) Type 2
In this lightning talk, we will:
- Introduce Dynamic Insert Overwrite: Understand its functionality and how it works
- Explore key use cases: Learn how it optimizes performance and reduces costs
- Share best practices: Discover practical tips for leveraging this feature on Databricks, including on the cutting-edge Serverless SQL Warehouses
Session Speakers
IMAGE COMING SOON
Thang Long Vu
/Software Engineer
Databricks