Elsevier Labs Deploys Databricks for Unified Content Analysis
We are happy to announce that Elsevier Labs has deployed Databricks as its unified content analysis platform, providing significant productivity gains for the entire team and reducing typical project...
View ArticleDatabricks launches Meetup-in-a-box for Spark Meetup Organizers
One of the most important reasons for the growth of Apache Spark is the amazing grassroots community interest and support to share, teach, and learn with each other. At the heart of the Spark...
View ArticleAnnouncing Spark 1.6 Preview in Databricks
Today we are happy to announce the availability of an Apache Spark 1.6 preview package in Databricks. This package will provide early access to some of the new features available in the upcoming Spark...
View ArticleNew Databricks release: Preview of Apache Spark 1.6, easier search, and more
Databricks announces the availability of a major release this week. In addition to several new usability and portability features, this release also provides a preview to the not-yet-released Apache...
View ArticleBuilding a Just-In-Time Data Warehouse Platform with Databricks
Data warehouses have been designed to deliver value out of data and it has long served enterprises as the de-facto solution to do just that. But in today’s big data landscape where enterprises are...
View ArticleDatabricks and H2O Make it Rain with Sparkling Water
This is a guest blog from Michal Malohlava, a Software Engineer at H2O.ai Databricks provides a cloud-based integrated workspace on top of Apache Spark for developers and data scientists. H2O.ai has...
View ArticleGuest Blog: Streamliner – An Open Source Spark Streaming Application
This is a guest blog from Ankur Goyal, VP of Engineering at MemSQL Our always-on interconnected world constantly shuttles data between devices and data centers. The need for real-time insights is...
View ArticleThe Best of Databricks Blog: Most Read Posts of 2015
Databricks developers are prolific blog authors when they are not writing code for the Databricks platform or Apache Spark. As 2015 draws to a close, we did a quick tally of page views across all the...
View ArticleLendUp Expands Access to Credit with Databricks
We are happy to announce a new deployment of Databricks in the financial technology sector with LendUp, a company that builds technology to expand access to credit. LendUp uses Databricks to develop...
View ArticleIntroducing Spark Datasets
To learn more about Spark, attend Spark Summit East in New York in Feb 2016. Developers have always loved Apache Spark for providing APIs that are simple yet powerful, a combination of traits that...
View ArticleAnnouncing Spark 1.6
To learn more about Spark, attend Spark Summit East in New York in Feb 2016. Today we are happy to announce the availability of Apache Spark 1.6! With this release, Spark hit a major milestone in terms...
View ArticleSpark 2015 Year In Review
To learn more about Spark, attend Spark Summit East in New York in Feb 2016. 2015 has been a year of tremendous growth for Apache Spark. The pace of development is the fastest ever. We went through 4...
View ArticleDatabricks 2015 Year In Review: Democratizing Access to Data
To learn more about Spark, attend Spark Summit East in New York in Feb 2016. 2015 has been a phenomenal year of growth for both Databricks and the Apache Spark project. In June, we launched general...
View ArticleAnnouncing Spark Essentials for the Public Sector workshop
We are proud to announce Spark Essentials – the first in a series of free technical workshops tailored for the public sector. Data scientists, engineers, and analysts who attend Session 1: Spark...
View ArticleSpark Summit East 2016 Agenda is now available
This February, join the Apache Spark community in New York City at the New York Midtown Hilton for the second annual Spark Summit East on February 16th-18th! We are happy to announce that the...
View ArticleMLlib Highlights in Spark 1.6
To learn more about Spark, attend Spark Summit East in New York in Feb 2016. With the latest release, Apache Spark’s Machine Learning library includes many improvements and new features. Users can now...
View ArticleDeep Learning with Spark and TensorFlow
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation. TensorFlow is a new framework released by...
View ArticleFaster Stateful Stream Processing in Spark Streaming
To learn the latest developments in Apache Spark, register today to join the Spark community at Spark Summit in New York City! Many complex stream processing pipelines must maintain state across a...
View ArticleAn Illustrated Guide to Advertising Analytics
To learn the latest developments in Apache Spark, register today to join the Spark community at Spark Summit in New York City! This is a joint blog with our friend at Celtra. Grega Kešpret is the...
View ArticleDatabricks Democratizes Data and Reduces Infrastructure Costs for Eyeview
We are happy to announce that Eyeview has selected Databricks as their enterprise data platform — doubling the pace of innovation and development of new product features through faster data processing...
View Article