Skip to main content
<
Page 61
>

Do your Streaming ETL at Scale with Apache Spark’s Structured Streaming

September 1, 2017 by Tathagata Das in
At the Spark Summit in San Francisco in June , we announced that Apache Spark’s Structured Streaming is marked as production-ready and shared...

Bay Area Apache Spark Meetup at Pinterest Summary

August 28, 2017 by Jules Damji in
On August 22, we held our monthly Bay Area Apache Spark Meetup (BASM) at Pinterest in San Francisco. In all, we had three...

Getting Around “Moore’s Wall”: Databricks CEO Ali Ghodsi Strives to Make AI More Accessible to the Fortune 2000

August 22, 2017 by Battery Ventures in
Today Databricks, a high-profile provider of technology fueling artificial-intelligence and data-analysis breakthroughs at big companies, announced it has raised $140 million from a...

Apache Spark’s Structured Streaming with Amazon Kinesis on Databricks

August 9, 2017 by Jules Damji in
On July 11, 2017, we announced the general availability of Apache Spark 2.2.0 as part of Databricks Runtime 3.0 (DBR) for the Unified...

Databricks Named as a Strong Performer in The Forrester Wave: Insight Platforms-as-a-Service, Q3 2017

August 8, 2017 by Bharath Gowda in
Forrester recently published The Forrester Wave: Insight Platforms-as-a-Service Wave, Q3 2017 . In its 36-criteria evaluation of insight platform-as-a-service (PaaS) providers, Forrester identified...

On-Demand Webinar and FAQ: Accelerate Data Science with Better Data Engineering on Databricks

On July 13th, we hosted a live webinar — Accelerate Data Science with Better Data Engineering on Databricks . This webinar focused on...

Serverless Continuous Delivery with Databricks and AWS CodePipeline

July 13, 2017 by Kevin Rasmussen in
Two characteristics commonly mark many companies' success. First, they quickly adapt to new technology. Second, as a result, they gain technological leadership and...

4 SQL High-Order and Lambda Functions to Examine Complex and Structured Data in Databricks

June 27, 2017 by Jules Damji in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Shell Oil Use Case: Parallelizing Large Simulations with Apache SparkR on Databricks

This blog post is a joint engineering effort between Shell’s Data Science Team ( Wayne W. Jones and Dennis Vallinga ) and Databricks...

Analysing Metro Operations Using Apache Spark on Databricks

This is a guest blog from EY Advisory Data & Analytics team, who have been working with Sporveien in Oslo building a platform...