How to Build a Smart Data Lake Using Semantics [Slideshare]

Posted by Kirk Newell on May 6, 2016 10:00:00 AM
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Recently, everyone has been talking about the benefits of data lakes. Data lakes promise cheap storage and ubiquitous access to all of your enterprise data. Unfortunately, however, most organizations that have a data lake are still struggling to make sense of the data in it. So, how do you harmonize, add meaning, govern, secure and offer business self-service to the data lake? You build a Smart Data Lake.

In our webinar "How to Build a Smart Data Lake Using Semantics", our own Marty Loughlin, VP of Financial Services,  and Curt Wright, Director of Engineering, discuss how to create a Smart Data Lake using Anzo Smart Data Integration™. This then allows you to create a comprehensive catalog of all your data sources, map your data sources to shared domain models, link and harmonize your data, automatically generate jobs for Apache Spark to move and/or transform your data, and analyze and query all of your metadata as well as track data lineage for governance.

By building a Smart Data Lake, organizations can harmonize, add meaning to, govern and secure their disparate data. In addition, it allows members of the organization to perform self-service data analysis for their own departmental purposes. To learn more about how to build a Smart Data Lake, watch the full webinar here.

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Tags: Smart Data Lake