Practical Hadoop Security

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Название: Practical Hadoop Security

Автор: Bhushan Lakhe

Издательство: Apress

ISBN: 978-1-4302-6544-3

Год: 2014

Количество страниц: 220

Формат: PDF

Язык: English

Размер: 5.5 Мб

Practical Hadoop Security is an excellent resource for administrators planning a production Hadoop deployment who want to secure their Hadoop clusters. A detailed guide to the security options and configuration within Hadoop itself, author Bhushan Lakhe takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way.

You will start with a detailed overview of all the security options available for Hadoop, including popular extensions like Kerberos and OpenSSH, and then delve into a hands-on implementation of user security (with illustrated code samples) with both in-the-box features and with security extensions implemented by leading vendors.

About the Author

Bhushan Lakhe is a Database Professional, Technology Evangelist and avid blogger residing in windy city of Chicago. After graduating in 1988 from one of India’s leading universities (Birla Institute of Technology & Science, Pilani), he started his career with India’s biggest software house Tata Consultancy Services. Shortly sent to UK on database assignment, he joined ICL, a British computer company and worked with prestigious British clients on various database assignments. Moving to Chicago in 1995, he worked as a Consultant with Fortune 50 companies in Chicago area including Leo Burnett, Blue Cross and Blue Shield of Illinois, CNA Insurance, ABN AMRO Bank, Abbott Laboratories, Motorola, JPMorgan Chase and British Petroleum, often in a critical and pioneering role. After a 7 year stint at IBM (recipient of prestigious Gerstner award for 2012) executing successful Big Data (as well as Data Warehouse) projects for their clients; Bhushan is currently working with Unisys Corporation, helping their clients with Data Warehouse & Big Data implementations. Bhushan is active in the Chicago Hadoop community and regularly answers queries on various Hadoop user forums.

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