Data Lake Architecture

166, pagine

lingua inglese

Pubblicato da Technics Publications.

ISBN:: 978-1-63462-117-5

(1 recensione)

by Bill Inmon (Author) 3.4 3.4 out of 5 stars 61 ratings See all formats and editions 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 organizations can actually get the data back out in a useable form? Very few can turn the 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. …

by Bill Inmon (Author) 3.4 3.4 out of 5 stars 61 ratings See all formats and editions 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 organizations can actually get the data back out in a useable form? Very few can turn the 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.

1 edizione

capitanGiaco ha recensito Data Lake Architecture di William H. Inmon

Un libro che parla in modo superficiale di una tecnologia completamente inutile!

2 stelle

Si trovano piu' informazioni sul Data Lake nella pagina descrittiva di AWS (https://aws.amazon.com/big-data/datalakes-and-analytics/what-is-a-data-lake/). Il libro e' di poche pagine, e riesce a ripetere sempre lo stesso concetto semplicistico del Big Data che il marketing ha voluto cambiare in Data Lake, e se alla fine non fai tu il mestiere dell'Archivista non serve ad un cazzo! La parte piu' interessante sono le References dove sono indicati altri libri. Quindi la seconda stellina e' solo per avermi indicato dove cercare altre informazioni su questo inquinante, costoso, inutile e altamente antidemocratico mondo del big data + machine learming.

Argomenti

Natural Language Processing
Data Modeling & Design
Artificial Intelligence & Semantics