Tag: Spark
Aug 7, 2017 |
Hadoop has emerged as a general purpose big data operating system that can perform a range of tasks and run all kinds of processing engines. But all that power and flexibility comes with a cost, which is something that one prominent healthcare analytics firm decided it didn’t want to pay anymore. Read more…
Jul 24, 2017 |
Companies that use DataRobot’s software to automate data science tasks can now output models directly from SAS, the dominant analytics company whose software is widely deployed in enterprises around the world. Read more…
Jul 21, 2017 |
If you were a data scientist three years ago, you could pretty much write your own ticket. Everybody in the industry, it seemed, either wanted to hire a data scientist, or wanted to be one. Read more…
Jul 18, 2017 |
IBM is extending its commitment to Apache Spark as a key component of in-memory analytics with the latest release of its SQL engine for Hadoop.
The new version of IBM Big SQL released last week also solidifies the company’s joint distribution deal with Hortonworks announced last month that includes Hortonwork’s Hadoop and stream processing distributions. Read more…
Jun 22, 2017 |
Who rules the ring when it comes to Hadoop SQL query engine performance? Can flashy newcomers like Presto and Spark take an established giant like MapReduce to the matt? Comcast recently held a competition to crown the best Hadoop engine, and the answer may surprise you. Read more…
Jun 16, 2017 |
Yahoo put its massive Hadoop investment on display this week at Dataworks Summit, the semi-annual big data conference that it co-hosts with Hortonworks.
While Hadoop is no longer the conference headliner that it once was, the platform is still critical for the daily operations of Yahoo, which officially became part of Verizon Communications this week when the $4.5 billion acquisition finally closed. Read more…
Jun 14, 2017 |
Hortonworks started life providing a Hadoop distribution that allowed customers to process big data at rest. But these days, the company has shifted its much of its attention and resources to streaming analytics, or processing big data in motion. Read more…
Jun 7, 2017 |
Imagine being able to use your Apache Spark skills to build and execute deep learning workflows to analyze images or otherwise crunch vast reams of unstructured data. That’s the gist behind Deep Learning Pipelines, a new open source package unveiled yesterday by Databricks. Read more…
May 24, 2017 |
Apache Spark has revolutionized how big data applications are developed and executed since it emerged several years ago. But troubleshooting slow Spark jobs on Hadoop clusters is not an easy task. Read more…
May 24, 2017 |
Running Hadoop, whether on-premise or in the cloud, is neither simple nor easy. Administrators with specialized skills are needed to configure, manage, and maintain the clusters for their clients, who are data scientists, engineers, and analysts. Read more…
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