Monthly Archives: May 2018

Accelerating query processing with materialized views in Apache Hive

Jesus Camacho Rodriguez from Hortonworks held a talk “Accelerating query processing with materialized views in Apache Hive” about the new materialized view feature coming in Apache Hive 3.0. This article covers the main principle of this feature, gives some examples and the improvements that are in the roadmap. […]

By |2018-06-06T16:14:47+00:00May 31st, 2018|Categories: Data Engineering, DataWorks Summit 2018|0 Comments

YARN and GPU Distribution for Machine Learning

This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can be useful in this context and how it can help the algorithms to run smoothly. This article stems from a conference at [...]

By |2018-06-07T10:25:09+00:00May 30th, 2018|Categories: Data Science, DataWorks Summit 2018|Tags: , , |2 Comments

Apache Metron in the Real World

Apache Metron is a storage and analytic platform specialized in cyber security. This talk was about demonstrating the usages and capabilities of Apache Metron in the real world. The presentation was led by Dave Russell, Principal Solutions Engineer – EMEA + APAC at Hortonworks, at the Dataworks Summit 2018 (Berlin). [...]

By |2018-06-07T13:38:15+00:00May 29th, 2018|Categories: Cyber Security, DataWorks Summit 2018, Events|Tags: , , |0 Comments

TensorFlow on Spark 2.3: The Best of Both Worlds

The integration of TensorFlow With Spark has a lot of potential and creates new opportunities. […]

Running Enterprise Workloads in the Cloud with Cloudbreak

This article is based on Peter Darvasi and Richard Doktorics’ talk Running Enterprise Workloads in the Cloud at the DataWorks Summit 2018 in Berlin. It presents Hortonworks’ automated deployment tool for cloud environments, Cloudbreak, describes and comments features that Peter and Richard explained in their talk, and give some personal guidelines on when and why [...]

By |2018-06-06T09:16:58+00:00May 28th, 2018|Categories: Big Data, DataWorks Summit 2018|Tags: , , , |1 Comment

Omid: Scalable and highly available transaction processing for Apache Phoenix

Apache Omid provides a transactional layer on top of key/value NoSQL databases. In practice, it is usually used on top of Apache HBase. […]

By |2018-06-05T22:36:36+00:00May 24th, 2018|Categories: Big Data, DataWorks Summit 2018, Events|Tags: , , , , , |1 Comment

Apache Beam: a unified programming model for data processing pipelines

In this article, we will review the concepts, the history and the future of Apache Beam, that may well become the new standard for data processing pipelines definition. […]

Present and future of Hadoop workflow scheduling: Oozie 5.x

During the DataWorks Summit Europe 2018 in Berlin, I had the opportunity to attend a breakout session on Apache Oozie. It covers the new features released in Oozie 5.0, including future features of Oozie 5.X, which is the main subject of this article. They spent some time discussing the Apache Ambari’s Workflow Scheduler and its way [...]

By |2018-06-05T22:36:37+00:00May 23rd, 2018|Categories: Big Data, DataWorks Summit 2018|Tags: , |2 Comments