Skip to main content
<
Page 9
>

Building a Real-Time Attribution Pipeline with Databricks Delta

August 9, 2018 by Caryl Yuhas and Denny Lee in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. In digital advertising, one...

Processing Petabytes of Data in Seconds with Databricks Delta

July 31, 2018 by Adrian Ionescu in
Introduction Databricks Delta Lake is a unified data management system that brings data reliability and fast analytics to cloud data lakes . In...

Simplify Advertising Analytics Click Prediction with Databricks Unified Analytics Platform

July 19, 2018 by Tony Cruz and Denny Lee in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Simplify Streaming Stock Data Analysis Using Databricks Delta

July 19, 2018 by John O'Dwyer and Denny Lee in
Traditionally, real-time analysis of stock data was a complicated endeavor due to the complexities of maintaining a streaming system and ensuring transactional consistency...

Make Your Oil and Gas Assets Smarter by Implementing Predictive Maintenance with Databricks

July 19, 2018 by Don Hillborn and Denny Lee in
How to build an end-to-end predictive data pipeline with Databricks Delta and Spark Streaming Maintaining assets such as compressors is an extremely complex...

Announcing Databricks Runtime 4.2!

July 18, 2018 by Todd Greenstein in
We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™. Version 4.2 includes updated Spark internals, new features, and major performance upgrades...

Build a Mobile Gaming Events Data Pipeline with Databricks Delta

July 2, 2018 by Steven Yu and Denny Lee in
How to build an end-to-end data pipeline with Structured Streaming Try this notebook in Databricks The world of mobile gaming is fast paced...

Introducing Low-latency Continuous Processing Mode in Structured Streaming in Apache Spark 2.3

Import this notebook on Databricks Structured Streaming in Apache Spark 2.0 decoupled micro-batch processing from its high-level APIs for a couple of reasons...

Introducing Stream-Stream Joins in Apache Spark 2.3

Since we introduced Structured Streaming in Apache Spark 2.0 , it has supported joins (inner join and some type of outer joins) between...

Introducing Apache Spark 2.3

Today we are happy to announce the availability of Apache Spark 2.3.0 on Databricks as part of its Databricks Runtime 4.0. We want...