Integrating Hadoop (Unabridged) Integrating Hadoop (Unabridged)

Integrating Hadoop (Unabridged‪)‬

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Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution:


Complies with (and even extends) enterprise standards
Integrates seamlessly with the existing information infrastructure
Fills a critical role within enterprise architecture.



Integrating Hadoop covers the gamut of the setup, architecture, and possibilities for Hadoop in the organization, including:


Supporting an enterprise information strategy
Organizing for a successful Hadoop rollout
Loading and extracting of data in Hadoop
Managing Hadoop data once it's in the cluster
Utilizing Spark, streaming data, and master data in Hadoop processes - examples are provided to reinforce concepts.

THỂ LOẠI
Khoa Học & Tự Nhiên
NGƯỜI DẪN CHUYỆN
RS
Randal Schaffer
NGÔN NGỮ
EN
Tiếng Anh
THỜI LƯỢNG
02:40
giờ phút
ĐÃ PHÁT HÀNH
2016
27 tháng 9
NHÀ XUẤT BẢN
Technics Publications
TRÌNH BÀY BỞI
Audible.com
KÍCH THƯỚC
124,9
Mb