ActiveBatch Big Data / Hadoop Ecosystem Integrations

Simplifying automation for the Hadoop Ecosystem with ActiveBatch Extensions for Hadoop tools and platforms

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ActiveBatch Extension for the Apache Hadoop Ecosystem 

Simplifying Workload Automation and Enterprise Job Scheduling for the Hadoop Ecosystem

It isn’t only the bigness of the data, the volume, that creates difficulties, but the number of disparate systems that contribute data and the cumbersome scripting required to handle and analyze the data.

Big Data engineers are looking for a workload automation and enterprise job scheduling solution that simplifies the integration and ongoing maintenance of the many Big Data and Hadoop components within the IT Infrastructure to maximize results. Once the Hadoop data sets (email messaging, documents, videos, audio files, presentations, telemetric sources, and more) are collected from structured and unstructured sources throughout the Big Data Ecosystem, the focus turns to preparing and organizing the data for use by a Big Data analytics team. The goal of that team becomes identifying trends and opportunities faster to allow the enterprise to address the challenges of a changing world.


Spend Less Time Preparing Big Data and More Time Visualizing It

ActiveBatch is a workload automation and enterprise job scheduling solution that simplifies the development and ongoing maintenance of processes through a unique templated Job Step approach for the Hadoop Ecosystem. This approach has been proven to simplify IT workflow creation. ActiveBatch Workload Automation runs within the framework of a Hadoop grid or cluster from prominent distributors such as Cloudera, MapR, Hortonworks, Amazon, and others.

 

Big Data and Hadoop Automation Benefits

  • Reduces both the time and cost spent building and maintaining the repetitive assimilation of Big Data

  • Minimizes the risk of manual errors by decreasing dependence on custom script creation

  • Optimizes the efficiency and speed of business and IT workloads to deliver faster time to insight by business users

  • Eliminates wait time for Job execution with an HDFS File Trigger to instantiate workloads beyond interval, date and time, or constraints


Apache Hadoop: The ActiveBatch Extension

The ActiveBatch Integrated Jobs Library allows developers to easily assemble IT and business workflows while improving reliability and reducing the time spent to modify and maintain those workflows. ASCI engineers have researched, designed, and engineered the logic, so developers won’t have to, in our pre-defined Job Steps that support the Hadoop Ecosystem and its major components and their subsets.


Hadoop Ecosystem Subsets Supported by ActiveBatch

  • Pig
  • HBase
  • Sqoop
  • Spark
  • Hive
  • HDFS
  • MapReduce
  • Oozie

The content-rich ActiveBatch Integrated Jobs Library includes prebuilt logic in the form of drag-and-drop Job Steps, supporting important functions such as:

  • Running scripts

  • Flow control

  • And more…

What ActiveBatch Users are Saying

“If it’s digital, ActiveBatch can do it.”

—System Administrator, First Rate

Be ready to automate anything.

Build and automate workflows in half the time without the need for scripting. Gain operational peace of mind with real-time insights, customizable alerting, and more.


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