Delta Lake Blogs

86 posts

Delta Lake 3.2

by Carly Akerly

We are pleased to announce the release of Delta Lake 3.2 (release notes) on Apache Spark 3.5, with features that improve the performance and interoperability of Delta Lake.

Efficient Delta Vacuum with File Inventory

by Arun Ravi M V (Grab)

Today, Delta Lake is rapidly making its mark as a highly popular hybrid data format, earning widespread adoption across various organizations.

Rivian expands the Delta Lake ecosystem with Delta-Go

by Chelsea Jones, Staff Data Engineer, Rivian; Rahul Madnawat, Software Engineer II, Rivian; Jason Shiverick, Director of AI Platforms, Rivian

Real-time data ingestion for high-volume transactions, now available in open source

Pros and cons of Hive-style partitioning

by Matthew Powers, Martin Bode

This post discusses the pros and cons of Hive-style partioning.

Structured Spark Streaming with Delta Lake: A Comprehensive Guide

by Delta Lake

The webinar demonstrates how to embrace structured streaming seamlessly from data emission to your final Delta table destination.

High-Performance Querying on Massive Delta Lake Tables with Daft

by Clark Zinzow, Jay Chia

This post introduces the distributed + parallel Delta Lake reader in Daft.

Delta Lake - State of the Project - Part 2

by Tathagata "TD" Das, Susan Pierce, Carly Akerly

Delta Lake, a project hosted under The Linux Foundation, has been growing by leaps and bounds. To celebrate the achievements of the project, we’re publishing a 2-part series on Delta Lake.

Delta Lake Announces Pandas Enhancement: Real Pandas to Optimize Data Lakehouse Performance

by Carly Akerly

The Delta Lake project is thrilled to announce its latest and most exciting collaboration with the Pandas community!

Delta Lake - State of the Project - Part 1

by Tathagata "TD" Das, Susan Pierce, Carly Akerly

Delta Lake, a project hosted under The Linux Foundation, has been growing by leaps and bounds. To celebrate the achievements of the project, we’re publishing a 2-part series on Delta Lake.

Delta Lake 3.1.0

by Carly Akerly

This post describes the exiting features in the Delta Lake 3.1.0 release

Delta Lake replaceWhere

by Matthew Powers

Selectively overriding rows or partitions of a Delta Lake table with replaceWhere.

Delta Lake Performance

by Joe Harris

This post shows explains why Delta Lake is fast and describes improvements to Delta Lake performance over time.

Writing a Kafka Stream to Delta Lake with Spark Structured Streaming

by Bo Gao, Matthew Powers

This blog post explains how to write a Kafka stream to a Delta table with Spark Structured Streaming.

Using Delta Lake with AWS Glue

by Keerthi Josyula, Matthew Powers

This post shows how to register Delta tables in the AWS Glue Data Catalog with the AWS Glue Crawler.

New features in the Python deltalake 0.12.0 release

by Ion Koutsouris

This post explains the new features in the Python deltalake 0.12.0 release

Delta Lake 3.0.0

by Carly Akerly

This post describes the exiting features in the Delta Lake 3.0.0 release

Delta Lake vs. Parquet Comparison

by Matthew Powers

This post compares the stengths and weaknesses of Delta Lake vs Parquet.

Unlock Delta Lakes for PyTorch Training with DeltaTorch

by Daniel Liden, Michael Shtelma

This post demonstrates how to create PyTorch DataLoaders using Delta tables as data sources for training deep learning models.

Introducing Delta Lake Table Features

by Nick Karpov

This introduces Delta Lake Table Features, a discrete feature-based compatibility scheme that replaces the traditional integer protocol versioning for Delta Lake tables and clients.

Delta Lake Change Data Feed (CDF)

by Nick Karpov, Matthew Powers

This blog shows how to enable and use the Delta Lake Change Data Feed.

Delta Lake’s transaction log protocol and its implementations

by Matthew Powers

This blog explains the Delta Lake transaction log protocol and its various implementation.

Delta Lake Deletion Vectors

by Nick Karpov

This blog introduces the new Deletion Vectors table feature for Delta Lake tables, and explains how Deletion Vectors speed up operations that modify existing data in your lakehouse.

Using Ibis with PySpark on Delta Lake tables

by Marlene Mhangami, Matthew Powers

This post explains how to use Ibis to query Delta tables with PySpark

Delta Lake Z Order

by Matthew Powers

This post explains how to use Delta Lake Z Order to make your queries run faster

Delta Lake 2.3.0 Released

by Allison Portis, Matthew Powers

This post explains some of the key features in the Delta Lake 2.3.0 release

Open source self-hosted Delta Sharing server

by Shingo OKAWA

This post explains Kotosiro Delta Sharing server basic instructions

How Delta Lake uses metadata to make certain aggregations much faster

by Matthew Powers, Scott Sandre

This post explains Delta Lake performance optimizations that make some aggregations execute quicker

How to use Delta Lake generated columns

by Matthew Powers

How to create Delta Lake tables with generated columns and the benefits of this feature

Introducing Support for Delta Lake Tables in AWS Lambda

by Nick Karpov

How to use deltalake in AWS Lambda with AWS SDK for pandas

How to create and append to Delta Lake tables with pandas

by Matthew Powers

This post explains how to create and append to Delta Lake tables with pandas

Running ML Workflows with Delta Lake and Ray

by Jim Hibbard

This post explains how you can read Delta Lake with the Ray compute framework

How to Convert from CSV to Delta Lake

by Matthew Powers

This post explains how to convert from a CSV data lake to Delta Lake, which offers much better features.

Getting started contributing to Delta Lake Spark

by Nick Karpov

This post explains the full development loop with the Delta Lake Spark connector. You'll learn how to retrieve and navigate the codebase, make changes, and package and debug custom builds.

New features in the Python deltalake 0.7.0 release of delta-rs

by Will Jones, Matthew Powers

This post explains the new features in the deltalake 0.7.0 release

Delta Lake Merge

by Nick Karpov

This post shows how to use MERGE with Delta tables.

Delta Lake Schema Evolution

by Matthew Powers

This post shows how to enable schema evolution in Delta tables and when this is a good option.

Delta Lake Time Travel

by Matthew Powers

This post shows how to time travel between different versions of a Delta table.

Delta Lake Small File Compaction with OPTIMIZE

by Matthew Powers

This post shows compact small files in Delta tables with OPTMIZE.

Adding and Deleting Partitions in Delta Lake tables

by Matthew Powers, Ryan Zhu

This post shows add partitions and remove partitions from Delta Lake tables.

Remove old files with the Delta Lake Vacuum Command

by Matthew Powers, Nick Karpov

This blog post explains how to remove files marked for deletion from storage with the Delta Lake Vacuum command.

Reading Delta Lake Tables into Polars DataFrames

by Matthew Powers, Chitral Verma

This post shows how to read Delta Lake tables into Polars DataFrames.

Building a more efficient data infrastructure for machine learning with Open Source using Delta Lake, Amazon SageMaker, and EMR

by Vedant Jain, Denny Lee

In this blog, we’ll explore how connecting Delta Lake, Amazon SageMaker Studio, and Amazon EMR can simplify the end-to-end workflow required to support data engineering and data science projects.

Data Sharing across Government Agencies using Delta Sharing

by Li Yu, Mubashir Kazia, Jon D. Ceanfaglione, Prabha Rajendran, Purushotam Shrestha, Shawn A. Benjamin

This post shows how government agencies are sharing data with Delta Sharing.

How to Delete Rows from a Delta Lake Table

by Matthew Powers

This post teaches you how to delete rows from a Delta Lake table and how the operation is implemented under the hood.

Delta Lake Constraints and Checks

by Matthew Powers

This post shows how to add constraints to your Delta table to avoid certain types of values from getting appended.

Delta Lake Schema Enforcement

by Matthew Powers

This post teaches you about schema enforcement in Delta Lake and why it's better than what's offered by data lakes

Why PySpark append and overwrite write operations are safer in Delta Lake than Parquet tables

by Matthew Powers

This post shows you why PySpark overwrite operations are safer with Delta Lake and how the different save mode operations are implemented under the hood.

How to Create Delta Lake tables

by Matthew Powers

This post shows you how to create Delta Lake tables with Python, SQL, and PySpark.

How to Version Your Data with pandas and Delta Lake

by Matthew Powers

This post shows you how to version your pandas datasets and the benefits you'll enjoy with versioned data.

Sharing a Delta Table’s Change Data Feed with Delta Sharing 0.5.0

by Will Girten

We are excited to announce the release of Delta Sharing 0.5.0.

How to Rollback a Delta Lake Table to a Previous Version with Restore

by Matthew Powers

This post shows you how to rollback Delta Lake tables to previous versions with restore.

Converting from Parquet to Delta Lake

by Matthew Powers

This post shows how to convert a Parquet table to a Delta Lake.

Why we migrated to a Data Lakehouse on Delta Lake for T-Mobile Data Science and Analytics Team

by Robert Thompson, Geoff Freeman

In this post, we will discuss the how and why we migrated from databases and data lakes to a data lakehouse on Delta Lake. Our lakehouse architecture allows reading and writing of data without blocking and scales out linearly....

How to drop columns from a Delta Lake table

by Matthew Powers

This post shows you two ways to drop columns from Delta Lake tables.

Apache Flink Source Connector for Delta Lake tables

by Krzysztof Chmielewski, Scott Sandre, Denny Lee

We are excited to announce the release of Delta Connectors 0.5.0, which introduces the new Flink/Delta Source Connector on Apache Flink™ 1.13 that can read directly from Delta tables using Flink’s DataStream API.

Delta 2.0 - The Foundation of your Data Lakehouse is Open

by Tathagata Das, Denny Lee

We are happy to announce the release of the Delta Lake 2.0 on Apache Spark™ 3.2! The significance of Delta Lake 2.0 is not just a number - though it is timed quite nicely with Delta Lake’s 3rd birthday....

Multi-cluster writes to Delta Lake Storage in S3

by Scott Sandre, Denny Lee, Mariusz Kryński (Samba TV)

While Delta Lake has supported concurrent reads from multiple clusters since its inception, there were limitations for multi-cluster writes specifically to Amazon S3. Note, this was not a limitation for Azure ADLSgen2 nor Google GCS, as S3 currently lacks...