Big Data and Hadoop Automation

Simplifying Automation for the Hadoop Ecosystem

Get a Demo

ActiveBatch Workload Automation Extension for the Apache Hadoop Ecosystem 

Simplifying Enterprise Workload Automation and 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 an Enterprise Workload Automation and 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 an Enterprise Workload Automation and 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
Datasheet Resource on ActiveBatch DATASHEET:

ActiveBatch Workload Automation Overview

Driven by marketplace demands, regulatory requirements, and rapidly changing IT environments, IT organizations are automating increasingly complex business and IT operational processes that span distributed environments comprised of various applications, databases, technologies, and process types. As a result, organizations need to automate workflows in order to quickly and reliably pass data and manage dependencies between systems and technologies.
Get the Resource

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 Hive
Sqoop MapReduce
Spark 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:
About Us
Contact Us
Business Hours
Observed Holidays
Privacy Policy
eBooks & White Papers
Case Studies
Account Info 
Support Info 
Product Info
Professional Services

© 2020 - Advanced Systems Concepts, Inc.  All Rights Reserved.
1180 Headquarters Plaza
W. Tower - 4th Floor
Morristown, NJ  07960
+1 (973) 539-2660