PROGRAMMING HIVE BY EDWARD CAPRIOLO, DEAN WAMPLER, JASON RUTHERGLEN
PROGRAMMING HIVE BY EDWARD
CAPRIOLO, DEAN WAMPLER, JASON
RUTHERGLEN
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About the Author Edward Capriolo is currently System Administrator at Media6degrees where he helps design and maintain distributed data storage systems for the internet advertising industry.
Edward is a member of the Apache Software Foundation and a committer for the Hadoop-Hive project. He has experience as a developer as well Linux and network administrator and enjoys the rich world of open source software. Dean Wampler is a Principal Consultant at Think Big Analytics, where he specializes in "Big Data" problems and tools like Hadoop and Machine Learning. Besides Big Data, he specializes in Scala, the JVM ecosystem, JavaScript, Ruby, functional and object-oriented programming, and Agile methods. Dean is a frequent speaker at industry and academic conferences on these topics. He has a Ph.D. in Physics from the University of Washington. Jason Rutherglen is a software architect at Think Big Analytics and specializes in Big Data, Hadoop, search, and security.
PROGRAMMING HIVE BY EDWARD CAPRIOLO, DEAN
WAMPLER, JASON RUTHERGLEN PDF
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PROGRAMMING HIVE BY EDWARD CAPRIOLO, DEAN WAMPLER, JASON RUTHERGLEN PDF
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.
This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. ● ● Use Hive to create, alter, and drop databases, tables, views, functions, and indexes ● Customize data formats and storage options, from files to external databases
Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional ● query methods ● Gain best practices for creating user defined functions (UDFs) ● Learn Hive patterns you should use and anti-patterns you should avoid ● Integrate Hive with other data processing programs ● Use storage handlers for NoSQL databases and other datastores ● Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce ● Sales Rank: #206792 in Books ● Published on: 2012-10-06 ● Released on: 2012-10-06 ● Original language: English ● Number of items: 1 ● Dimensions: 9.19" h x .82" w x 7.00" l, 1.25 pounds Binding: Paperback problems and tools like Hadoop and Machine Learning. Besides Big Data, he specializes in Scala, the JVM ecosystem, JavaScript, Ruby, functional and object-oriented programming, and Agile methods. Dean is a frequent speaker at industry and academic conferences on these topics. He has a Ph.D. in Physics from the University of Washington.
Jason Rutherglen is a software architect at Think Big Analytics and specializes in Big Data, Hadoop, search, and security.
Most helpful customer reviews 3 of 3 people found the following review helpful. Well written, but will probably be out of date soon By D. Zanter Well written, good book. However how fast Hive/hadoop is moving, I think this book will be out of data (already is in parts) soon. I'm assuming they'll come out with updated v2 of the book in the future. 3 of 3 people found the following review helpful. Good book - would like to see an update since so much has changed - like Impala, Stinger, Presto, etc. By JJ Good book - I used it to study for a presentation I needed to give our group at work. It's needing an update with Impala/Stinger/Presto now available to improve performance. 1 of 1 people found the following review helpful. I read this book and implemented a Hive project from start to production By sanjaysubramanian I had joined Nextag a few months before this book got released and my solo-artist project was to convert all MySQL aggregations to Hadoop. I was thinking MR Java, HBase - and then I started reading this book. Start to end it took me less than a week and I decided that I want to give Hive a shot. It was possibly Hive 0.8 in late 2012 if my memory serves me right. I joined the Hive user group and also had the good fortune of communicating with two of the authors Capriolo and Wampler ad seeking clarifications. I don't want to go into the details of how well written this book is. Thye developers who read this review will get it when that reading this book and actively participating in the Hive community helped me a great deal to execute a project all the way from start to production - all by myself...If the authors want to publish a V2 , I would love to write a case study :-) See all 14 customer reviews...
PROGRAMMING HIVE BY EDWARD CAPRIOLO, DEAN WAMPLER, JASON RUTHERGLEN PDF
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