Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump
Mega Sale! Save 28% on the Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump by Technics Publications LLC at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. Organizations invest incredible amounts of time and money obtaining and then storing big data in data stores called data lakes. But how many of these
Data Lake Architecture will explain how to build a useful data lake, where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.
Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.
|Brand:||Technics Publications LLC|
|Item Weight:||0 pounds|
|Item Size:||0.38 x 9 x 9 inches|
|Package Weight:||0.02 pounds|
|Package Size:||6.06 x 0.63 x 0.63 inches|