How to Manage Big Data with Hadoop Automation

Many enterprises are collecting Big Data, but how do we use it efficiently to gain a competitive edge?

Dave Kellermanns
Dave Kellermanns, June 16, 2016 9:00 am
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How does automation help IT manage Big Data with Hadoop?

We find that most in IT see Hadoop as a very agile technology, but want the same amount of control over it as they have with their other applications – reliability, audibility, and so on. At Automic we see this as a tremendous opportunity for an enterprise Hadoop automation tool to help data scientists be more agile and provide them with self-service capabilities, while at the same time allowing IT folk to ensure enterprise-level quality to Big Data applications.

This frees up time for data scientists, giving them the agility they need to look ahead and decide how to use Big Data management to innovate new products ahead of the competition.

Why should enterprises use Automic rather than Hadoop on its own for free?

Hadoop comes with its own scheduler, Oozie, as well as other openly available scheduling solutions such as Azkaban. These do a great job when you start on your Hadoop automation journey with testing and pilots etc., but after that, you need enterprise-level automation to drive all Big Data processing and deployments.

The Automic Big Data Automation solution automates within the Big Data toolchain, but also orchestrates across the enterprise. It lets Hadoop utilize open-source parallel processing capabilities, but its end-to-end control of all automation capabilities across the enterprise brings Big Data management capabilities into the business in a way that Hadoop alone cannot achieve. This ensures Big Data does not become another silo and brings maximum value at the speed of business.

I feel that Big Data should enable digital transformation rather than being a time-consuming element that hinders agility. Using Hadoop alone might save some money on software, but without automation, the cost of resources to handle the data itself is high. The ability to give Big Data scientists more time to help innovate applications that can grow the business exponentially means the Automic Big Data Automation solution gives real business value.

How can enterprises exploit Hadoop to drive digital innovation?

Automic has recently partnered with Hortonworks, whose sole purpose is to innovate around the capabilities of Hadoop. They are one of the original curators of the Hadoop technology.

Hortonworks apps distil Big Data lakes into actionable intelligence from both data-in-motion and data-at-rest. They also offer training and consulting on how to make Big Data management a transformational technology for an enterprise on any vertical.

The Automic Big Data Automation solution is integrated into the Hortonworks Data Platform enabling organizations to automate the provisioning and deployment, including:

  • The integration of Big Data workflows within the Hortonworks platform.
  • The provisioning of a centralized orchestration point for all MapReduce, HDFS, Pig and Hive tasks, both in the cloud hybrid environments.
  • Automation of the Hortonworks Data Platform and integration of Big Data related tasks without the additional stress of learning a multitude of new tools.

Although Big Data has been around for some time, most businesses are yet to fully harness its potential. With the capabilities for business growth provided by automation and a vastly expanding number of Big Data sources coming online with the Internet of Things, digital enterprises today have almost limitless opportunity to produce the next game-changing application that people don’t even realize they need yet.

I’m excited to see the many innovative ways in which Automic customers will use our partnership with Hortonworks to exploit Big Data and bring enterprise-level automation to the Hadoop technology stack. 

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Dave Kellermanns

Dave Kellermanns

Dave Kellermans is Chief Automation Architect at Automic. In this role he works with a variety of Fortune 100 companies to review and strategize around their automation strategy and start innovating for the benefit of the business. He truly believes that “keeping the lights on” should not be the primary function of IT.