Hortonworks Data Analytics Studio

Kevin Feasel

2018-09-14

Hadoop

Will Xu and Syed Mahmood announce Hortonworks Data Analytics Studio:

DAS leverages open-source technologies such as Apache Hive to share and extend the value of a modern data architecture in heterogeneous environments. It helps infrastructure administrators manage and optimize the performance of their Hive workloads by delivering visibility into query patterns and storage hotspots. DAS improves performance by uncovering inhibitors to query speed as well as providing recommendations to improve its efficiency.

In the past, Hive view did not provide full auto-complete capability during authoring time. We’ve addressed this shortcoming in DAS. This is not a trivial task especially on large databases, however through a number of caching optimizations we were able to make it work smoothly even with thousands of tables.

This product feels more like Management Studio or SQL Operations Studio than prior Hive UIs.  That’s definitely a good thing.

Related Posts

Deploying Cloudera Enterprise On Azure

Xavier Morera announces a new Cloudera course: You will start by learning the Microsoft Azure services required to deploy a secure, elastic, Cloudera Enterprise cluster. These core services include security, networking, virtual machine management, and storage, just to name a few. Then, you’ll learn best practices and patterns for cloud-based clusters, including tips and caveats for security […]

Read More

Working With The Databricks API Via Powershell

Gerhard Brueckl has a Powershell module for interacting with Databricks, either Azure or AWS: As most of our deployments use PowerShell I wrote some cmdlets to easily work with the Databricks API in my scripts. These included managing clusters (create, start, stop, …), deploying content/notebooks, adding secrets, executing jobs/notebooks, etc. After some time I ended […]

Read More

Categories

September 2018
MTWTFSS
« Aug Oct »
 12
3456789
10111213141516
17181920212223
24252627282930