PDF Download Apache Hive Cookbook By Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra
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Apache Hive Cookbook By Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra
PDF Download Apache Hive Cookbook By Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra
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- Sales Rank: #2559642 in Books
- Published on: 2016-04-29
- Released on: 2016-04-29
- Original language: English
- Dimensions: 9.25" h x .61" w x 7.50" l, 1.03 pounds
- Binding: Paperback
- 268 pages
About the Author
Hanish Bansal
Hanish Bansal is a software engineer with over 4 years of experience in developing big data applications. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He has worked on various technologies such as Spring Framework, Hibernate, Hadoop, Hive, Flume, Kafka, Storm, and NoSQL databases, which include HBase, Cassandra, MongoDB, and search engines such as Elasticsearch. In 2012, he completed his graduation in Information Technology stream from Jaipur Engineering College and Research Center, Jaipur, India. He was also the technical reviewer of the book Apache Zookeeper Essentials. In his spare time, he loves to travel and listen to music. You can read his blog at http://hanishblogger.blogspot.in/ and follow him on Twitter at https://twitter.com/hanishbansal786.
Saurabh Chauhan
Saurabh Chauhan is a module lead with close to 8 years of experience in data warehousing and big data applications. He has worked on multiple Extract, Transform and Load tools, such as Oracle Data Integrator and Informatica as well as on big data technologies such as Hadoop, Hive, Pig, Sqoop, and Flume. He completed his bachelor of technology in 2007 from Vishveshwarya Institute of Engineering and Technology. In his spare time, he loves to travel and discover new places. He also has a keen interest in sports.
Shrey Mehrotra
Shrey Mehrotra has 6 years of IT experience and, since the past 4 years, in designing and architecting cloud and big data solutions for the governmental and financial domains. Having worked with big data R&D Labs and Global Data and Analytical Capabilities, he has gained insights into Hadoop, focusing on HDFS, MapReduce, and YARN. His technical strengths also include Hive, Pig, Spark, Elasticsearch, Sqoop, Flume, Kafka, and Java. He likes spending time performing R&D on different big data technologies. He is the coauthor of the book Learning YARN, a certified Hadoop developer, and has also written various technical papers. In his free time, he listens to music, watches movies, and spending time with friends.
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