Learn Apache Hive from Packt

Packt offers you 34 courses, to learn Apache Hive now!

Packt, is a print on demand publishing company based in Birmingham, UK and Mumbai, India. Many of its book offerings concern information technology or software. It offers print books as well as e-books in several formats. Alongside traditional publishing activities, Packt supports and promotes open source projects and concepts. In March 2011, following its 'Believe in Open Source campaign' Packt announced that its donations to open source projects have exceeded $300,000. - read more on Wikipedia

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This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive

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Leverage your knowledge of SQL to easily write distributed data processing applications on Hadoop using Apache Hive

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Easy^ hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today s big data world

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Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Complete course on Sqoop^ Flume^ and Hive: Great for CCA175 and Hortonworks Spark Certification preparation

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End-to-End Hive: HQL^ Partitioning^ Bucketing^ UDFs^ Windowing^ Optimization^ Map Joins^ Indexes

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Great for CCA159 preparation - Big data certification for non-programmers^ business analysts^ testers^ and SQL developers

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Getting SQL Server talking to Hadoop is a smooth process when you follow this tutorial. Learn all the tools and techniques you need integrate the data and then extract powerful business insights from the merged result.

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If you want to start working on big data projects fast^ this is the guide you’ve been looking for. Delve deep into Talend and discover how just how easily you can revolutionize your data handling and presentation.

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Effectively store^ manage^ and analyze large Datasets with HDFS^ SQOOP^ YARN^ and MapReduce

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Transfer data efficiently between RDBMS and the Hadoop ecosystem using the robust Apache Sqoop

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Perform real-time data analytics^ stream and batch processing on your application using Hadoop

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