Data Warehouse and ETL Automation

Optimize your ETL processes for real-time data warehousing with ActiveBatch Workload Automation

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Orchestrate End-to-End Data Warehouse Processes

Business doesn’t get far without data. Important business decisions, day-to-day operations, and customer experience all depend on the information that IT collects, processes, and protects.

That data is collected from dozens of applications, siloed systems, and other external sources. As a result, teams often rely on a variety of ad-hoc solutions, automation scripts, and ETL tools. This fragmented approach makes it difficult to design end-to-end data processes and makes IT less responsive to dynamic business requirements. The proliferation of applications, cloud systems, and IoT touch-points is making data warehousing even more complex.

Workload automation can help simplify data warehouses by consolidating and coordinating multiple data management tools, including ETL tools and BI platforms, giving IT a single solution for automating, monitoring, and managing critical data processes.

  • Automate data repository updates for improved data quality and reporting
  • Manage and control large amounts of data across different IT systems to ensure the on-time delivery of accurate reports
  • Set constraints to wait for file completions before starting dependent workflows to ensure reliable data

ActiveBatch Integrated Jobs Library

The ActiveBatch Integrated Jobs Library provides hundreds of prebuilt, platform-neutral connectors, enabling IT to simplify and streamline data warehousing and ETL processes without having to write scripts. ActiveBatch also features an intuitive drag-and-drop workflow designer so users can quickly build reliable, end-to-end workflows that manage data and dependencies across disparate, heterogeneous systems and technologies.

The ActiveBatch Service Library extends the power of the Integrated Jobs Library with full API accessibility that allows users to load and execute WSDLs, SOAP Web Services, RESTful Services, and more, expanding the reach of ActiveBatch to any application or technology with an API. Some popular Job Steps include:

Advanced Scheduling

Trigger data warehousing and ETL processes based on external conditions using ActiveBatch’s rich, event-driven architecture. Job triggers can include email, file events, FTP file triggers, data modifications, message queues, and more. 

Reduce delays and false starts with constraint-based scheduling and granular date/time scheduling. With ActiveBatch, IT teams worry less about routine processes and focus more on innovation.

Auditing and Governance

By automating and orchestrating processes from a single platform, users can standardize compliance policies for data across the enterprise. 

  • Streamline business rules across teams, departments, and geographic locations
  • Drive governance throughout the enterprise with full audit trails on all jobs and workflows
  • Prevent unauthorized access with granular permissioning, multi-factor authentication, and privileged access management
  • Minimize the impact of unwanted changes with complete revision histories and version rollbacks

Big Data and Hadoop Automation

ActiveBatch simplifies the development and ongoing maintenance of processes through a unique, templated approach to automating and integrating the Hadoop Ecosystem. ActiveBatch Workload Automation runs within the framework of a Hadoop grid or cluster from prominent distributors such as Cloudera, MapR, Hortonworks, Amazon, and others.

ActiveBatch Supports Numerous Hadoop Subsets:

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

Big Data and Hadoop Automation Benefits: 

  • Reduce the time and cost spent developing, maintaining, and synchronizing big data
  • Minimize the risk of manual errors by decreasing dependence on custom scripts
  • Optimize the efficiency and speed of ETL and MFT workloads for accurate, up-to-date business reports
  • Eliminate wait times with an HDFS file trigger to instantiate workloads beyond interval, date and time, or constraints

Data Warehousing/ETL and BI Integrations

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