Hadoop: Data Processing and Modelling - Info and Reading Options
By Tanmay Deshpande, Sandeep Karanth and Gerald Turkington

"Hadoop: Data Processing and Modelling" is published by Packt Publishing in Jul 14, 2017 - Place of publication not identified and it has 1006 pages.
“Hadoop: Data Processing and Modelling” Metadata:
- Title: ➤ Hadoop: Data Processing and Modelling
- Authors: Tanmay DeshpandeSandeep KaranthGerald Turkington
- Number of Pages: 1006
- Publisher: Packt Publishing
- Publish Date: Jul 14, 2017
- Publish Location: ➤ Place of publication not identified
“Hadoop: Data Processing and Modelling” Subjects and Themes:
- Subjects: ➤ Electronic data processing - Data warehousing - Entrepôts de données (Informatique) - BUSINESS & ECONOMICS / Industrial Management - BUSINESS & ECONOMICS / Management - BUSINESS & ECONOMICS / Management Science - BUSINESS & ECONOMICS / Organizational Behavior - Apache Hadoop - Data mining
Edition Identifiers:
- The Open Library ID: OL26835970M - OL19545351W
- Online Computer Library Center (OCLC) ID: 958879530
- ISBN-13: 9781787125162 - 9781787120457
- ISBN-10: 1787125165
- All ISBNs: 1787125165 - 9781787125162 - 9781787120457
AI-generated Review of “Hadoop: Data Processing and Modelling”:
"Hadoop: Data Processing and Modelling" Description:
Open Data:
As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions. The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called "What just happened" for more clarity and understanding. The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark. Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop. So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable. When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes
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