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Zaloni Announces Bedrock Data Management Platform™ 2.1

  • By Allie Philpin 
  • Category: News 
  • Comments (0) 

At the recent Strata NY-Hadoop Conference, Zaloni announced the release of version 2.1 of their popular Bedrock Data Management Platform™, an end-to-end solution for building and deploying Hadoop applications to extend and improve the collection, organisation, analysing and visual capabilities of big data management.

Zaloni, leading providers of Hadoop software and service solutions, has responded to demand in delivering a range of new functional and interface features within the Bedrock Data Management Platform 2.1 including:

•    Metadata enhancements for managing entities definition and versioning using a new, easy-to-use user interface.
•    New post ingestion actions with the addition of new workflow actions for post ingestion, Watermark files that identify data held in Hadoop, plus Mask and Tokenize data based on rules that have been configured in metadata.
•    Workflow enhancements that deliver support for sub-workflows, enable code reuse, improved workflow design and better log management.
•    Data ingestion enhancements that provide dynamic destinations and support custom attributes in file patterns.

Ben Sharma, CEO at Zaloni, said: “Our customers have the same challenges they’ve had for years, however due to the volume of data growth and the cost of maintaining proprietary data warehouse and analytics applications, they are being forced to face these challenges with an increased sense of urgency.”  He added: “Bedrock’s incredibly fast and integrated approach to addressing big data challenge delivers significant time savings, and as much as 40% cost savings for customers.  Bedrock 2.1 further improves cost and time savings by harnessing the new features in the Hadoop ecosystem and increasing ease of use.”

Customers will be able to quickly build and deploy Enterprise Data Repository to further improve the cost savings and response times, known as Data Lake and a feature of Bedrock 2.1, and using the Hadoop platform to meet the data management, date integration and governance requirements of an enterprise data platform.

By Allie Philpin

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