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How to Manage Python Dependencies in PySpark

December 22, 2020 by Hyukjin Kwon in
Controlling the environment of an application is often challenging in a distributed computing environment - it is difficult to ensure all nodes have...

Natively Query Your Delta Lake With Scala, Java, and Python

Today, we’re happy to announce that you can natively query your Delta Lake with Scala and Java (via the Delta Standalone Reader) and...

Personalizing the Customer Experience with Recommendations

Go directly to the Recommendation notebooks referenced throughout this post . Retail made a giant leap forward in the adoption of e-commerce in...

A Step-by-step Guide for Debugging Memory Leaks in Spark Applications

December 16, 2020 by Shivansh Srivastava in
This is a guest authored post by Shivansh Srivastava, software engineer, Disney Streaming Services. It was originally published on Medium.com Just a bit...

Handling Late Arriving Dimensions Using a Reconciliation Pattern

December 15, 2020 by Chaitanya Chandurkar in
This is a guest community post authored by Chaitanya Chandurkar , Senior Software Engineer in the Analytics and Reporting team at McGraw Hill...

Python Autocomplete Improvements for Databricks Notebooks

At Databricks, we strive to provide a world-class development experience for data scientists and engineers, and new features are constantly getting added to...

Learn How Disney+ Built Their Streaming Data Analytics Platform With Databricks and AWS to Improve the Customer Experience

December 14, 2020 by Hector Leano in
https://youtu.be/WAOrqsHpJuM Martin Zapletal, Software Engineering Director at Disney+, is presenting at re:Invent 2020 with the session "How Disney+ uses fast data ubiquity to...

ACID Transactions on Data Lakes Tech Talks: Getting Started with Delta Lake

November 23, 2020 by Ryan Boyd in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. As part of our...

Delta vs. Lambda: Why Simplicity Trumps Complexity for Data Pipelines

November 20, 2020 by Hector Leano in
“Everything should be as simple as it can be, but not simpler” - Albert Einstein Generally, a simple data architecture is preferable to...

MLflow Model Registry on Databricks Simplifies MLOps With CI/CD Features

MLflow helps organizations manage the ML lifecycle through the ability to track experiment metrics, parameters, and artifacts, as well as deploy models to...