As the volume, velocity, and variety of data grow, organizations increasingly depend on data lakes for data storage, governance, blending, and analysis.

A data lake enables organizations to collect a larger volume and variety of data without the rigidity and overhead of traditional data warehouse architectures. Additionally, data lakes provide a place for data-focused users to experiment with datasets and find value without involving IT or spinning up a large project.  This Whitepaper outlines the benefits of a data lake solution and defines an architecture for data ingestion, storage, curation, governance, and organizational distribution.

Please complete the form below to access the full downloadable PDF, Architecting Azure Data Lakes – by Jordan Anderson, Sr. Mgr. of Consulting Services and Sean Forgatch, Sr. Consultant at Talavant
 
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