Citrix Xenserver 6 0 Administration Essential Guide


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Citrix Xenserver 6. 0 Administration Essential Guide


Citrix Xenserver 6. 0 Administration Essential Guide

Author: Daniele Tosatto

language: en

Publisher: Packt Publishing Ltd

Release Date: 2012-06-25


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Deploy and manage XenServer in your enterprise to create, integrate, manage and automate a virtual datacenter quickly and easily.

F5 Networks TMOS Administration Study Guide


F5 Networks TMOS Administration Study Guide

Author: Philip Jönsson

language: en

Publisher: Philip Jönsson & Steven Iveson

Release Date: 2018-02-26


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From the authors of the best-selling, highly rated F5 Application Delivery Fundamentals Study Guide comes the next book in the series covering the 201 TMOS Administration exam. Whether you’re a novice or heavyweight, the book is designed to provide you with everything you need to know and understand in order to pass the exam and become an F5 Certified BIG-IP Administrator at last. All network, protocol and application level subjects and F5 specific topics found in the exam blueprint are covered in full and in detail. The book is useful not only for those planning to achieve the certification but also for administrators working with BIG-IP platforms every day who wish to widen their knowledge or have a reference to hand when necessary. The book contains over 350 diagrams, over 90 test questions and a number of lab exercises to aid and re-enforce understanding and assist in preparing for the exam. A full guide to setting up a virtual lab environment is also included. Download of the PDF file has been disabled. To download the lab components, please visit https://www.f5books.eu/building-your-own-lab/

Large Scale and Big Data


Large Scale and Big Data

Author: Sherif Sakr

language: en

Publisher: CRC Press

Release Date: 2014-06-25


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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing t