Data Lake Architecture
Designing the Data Lake and Avoiding the Garbage Dump
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Data Lake Architecture
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Narrado por:
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Mark Shumka
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De:
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Bill Inmon
Acerca de esta escucha
Organizations invest incredible amounts of time and money in obtaining and then storing big data in stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn a data lake into an information gold mine. Most wind up with garbage dumps.
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.
©2016 Bill Inmon (P)2016 Technics Publications, LLCLos oyentes también disfrutaron...
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Lo que los oyentes dicen sobre Data Lake Architecture
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Erick
- 03-23-18
Great Book
A great inspiration and insights to data lake design. a must read for everyone building a data lake
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Total5 out of 5 stars
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Ejecución4 out of 5 stars
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Historia5 out of 5 stars
- Tony
- 02-26-18
Good Fundamentals
Value in strategy of data lake setups and thought provoking on integrations of data ponds
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Total2 out of 5 stars
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Ejecución2 out of 5 stars
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Historia2 out of 5 stars
- Gregology
- 10-17-16
Not useful in audio format
Decent content but some chapters were mainly reading out tables verbatim, it was not useful
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esto le resultó útil a 2 personas