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A Working Guide to the Complete Hadoop Toolset 1st ed. Edition
Author, Michael Frampton
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The
solution: implementing a big data system
As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive)
The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade—someone just like author and big data expert Mike Frampton
Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to
• Store big data
• Configure big data
• Process big data
• Schedule processes
• Move data among SQL and NoSQL systems
• Monitor data
• Perform big data analytics
• Report on big data processes and projects
• Test big data systems
Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and—with the help of this book—start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career
About the Author,
Michael Frampton has been in the IT industry since 1990, working in many roles (tester, developer, support, QA), and in many sectors ( Telecoms, banking, energy, insurance). He has also worked for major corporations and banks, including IBM, HP, and JPMorgan Chase. The owner of Semtech Solutions, an IT/Big Data consultancy, Mike currently lives by the beach in Paraparaumu, New Zealand, with his wife and son.
,Michael Frampton
I am keenly interested in new technologies and have investigated the ,big data, domain over the last few years. I have now written three big data books covering the Hadoop, Spark and Mesos/DCOS areas. I tend to concentrate on big data integration of full stacks rather than individual components
My IT history is conventional, I have been involved in development, maintenance, support and test over a variety of functional domains since 1990. My LinkedIn profile can be found here
nz.linkedin.com/pub/mike-frampton/20/630/385
I am always interested to make new contacts, to hear about your projects and to hear about new opportunities. Please feel free to contact me
Product details
1st ed. edition (December 24, 2014)
• Language : English
• Paperback : 408 pages
• Item Weight : 1.48 pounds
• Dimensions : 7.01 x 0.89 x 10 inches
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