Download Apache Hive Essentials by Dayong Du PDF

By Dayong Du

Immerse your self on an attractive trip to find the attributes of huge info through the use of Hive

About This Book

  • Discover how Hive can coexist and paintings with different instruments within the Hadoop environment to create giant facts solutions
  • Grasp the abilities wanted, research the easiest practices, and stay away from the pitfalls in writing effective Hive queries to research the large data
  • Create an atmosphere to research immense information utilizing useful, example-oriented scenarios

Who This e-book Is For

If you're a info analyst, developer, or just an individual who desires to use Hive to discover and study information in Hadoop, this is often the publication for you. no matter if you're new to special info or a professional, with this e-book, it is possible for you to to grasp either the elemental and the complex beneficial properties of Hive. given that Hive is an SQL-like language, a few past event with the SQL language and databases comes in handy to have a greater knowing of this book.

What you are going to Learn

  • Create and arrange the Hive environment
  • Discover the right way to use Hive's definition language to explain data
  • Discover attention-grabbing information by way of becoming a member of and filtering datasets in Hive
  • Transform information through the use of Hive sorting, ordering, and functions
  • Aggregate and pattern information in several ways
  • Boost Hive question functionality and improve facts defense in Hive
  • Customize Hive on your wishes through the use of user-defined features and combine it with different tools

In Detail

In this ebook, we arrange you to your trip into titanic info by means of first of all introducing you to backgrounds within the immense information area in addition to the method of developing and getting conversant in your Hive operating setting. subsequent, the publication courses you thru gaining knowledge of and remodeling the values of huge information with assistance from examples. It additionally hones your ability in utilizing the Hive language in an effective demeanour. in the direction of the tip, the booklet specializes in complicated issues resembling functionality, protection, and extensions in Hive, so as to consultant you on intriguing adventures in this priceless gigantic facts journey.

By the tip of the e-book, you'll be conversant in Hive and ready to paintings successfully to discover options to special information problems.

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Extra info for Apache Hive Essentials

Example text

Com/elasticmapreduce/) is the earliest Hadoop service in the cloud. However, it is not a pure open sourced version of Hadoop, but is customized to run only on AWS cloud. Cloudera is one of the first few players that offered open source Hadoop solutions to the enterprise. html), which opens up Hadoop deployments in the cloud through a simple, self-service interface, and is fully supported on Amazon Web Services. com/en-us/documentation/services/hdinsight/) is a service that deploys and provisions Apache Hadoop clusters in the Azure cloud.

The range of date is from 0000-01-01 to 9999-12-31. ]. 0. 345' Hive has three main complex types: ARRAY, MAP, and STRUCT. These data types are built on top of the primitive data types. ARRAY and MAP are similar to that in Java. STRUCT is a record type, which may contain a set of any type of fields. Complex types allow the nesting of types. The details of complex types are as follows: Complex data type Description Example ARRAY This is a list of items of the same type, such as (val1, val2, and so on).

Note The differences between an embed Derby database and an external database is that an external database offers a shared service so that users can share the metadata of Hive. However, an embed database is only visible to the local users. 1$ hdfs dfs -chmod g+w /user/hive/warehouse That's all about Apache Hive installation. In one of the Hive nodes installed, type hive to enter the Hive command-line environment (hive>), which verifies Hive is successfully installed. Installing Hive from vendor packages Right now, many companies, such as Cloudera, MapR, IBM, and Hortonworks, have packaged Hadoop into more easily manageable distributions.

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