Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.
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Sandeep Karanth
Sandeep Karanth is a technical architect who specializes in building and operationalizing software systems. He has more than 14 years of experience in the software industry, working on a gamut of products ranging from enterprise data applications to newer-generation mobile applications. He has primarily worked at Microsoft Corporation in Redmond, Microsoft Research in India, and is currently a cofounder at Scibler, architecting data intelligence products. Sandeep has special interest in data modeling and architecting data applications. In his area of interest, he has successfully built and deployed applications, catering to a variety of business use cases such as vulnerability detection from machine logs, churn analysis from subscription data, and sentiment analyses from chat logs. These applications were built using next generation big data technologies such as Hadoop, Spark, and Microsoft StreamInsight and deployed on cloud platforms such as Amazon AWS and Microsoft Azure. Sandeep is also experienced and interested in areas such as green computing and the emerging Internet of Things. He frequently trains professionals and gives talks on topics such as big data and cloud computing. Sandeep believes in inculcating skill-oriented and industry-related topics in the undergraduate engineering curriculum, and his talks are geared with this in mind. Sandeep has a Master's degree in Computer and Information Sciences from the University of Minnesota, Twin Cities. Sandeep's twitter handle is @karanths. His GitHub profile is https://github.com/Karanth, and he writes technical snippets at https://gist.github.com/Karanth.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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