Enterprise Applications

Download Apache Hive Essentials by Dayong Du PDF

By Dayong Du

Immerse your self on a lovely trip to find the attributes of massive facts through the use of Hive

About This Book

  • Discover how Hive can coexist and paintings with different instruments within the Hadoop environment to create vast information solutions
  • Grasp the abilities wanted, research the simplest practices, and steer clear of the pitfalls in writing effective Hive queries to research the massive data
  • Create an atmosphere to research large information utilizing useful, example-oriented scenarios

Who This publication Is For

If you're a information analyst, developer, or just somebody who desires to use Hive to discover and examine facts in Hadoop, this can be the booklet for you. no matter if you're new to important facts or a professional, with this publication, it is possible for you to to grasp either the fundamental and the complicated positive factors of Hive. on the grounds that Hive is an SQL-like language, a few earlier event with the SQL language and databases turns out to be useful to have a greater figuring out of this book.

What you are going to Learn

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

In Detail

In this ebook, we arrange you in your trip into huge facts through to begin with introducing you to backgrounds within the great info area in addition to the method of establishing and getting conversant in your Hive operating surroundings. subsequent, the booklet courses you thru researching and reworking the values of huge facts with the aid of examples. It additionally hones your ability in utilizing the Hive language in a good demeanour. in the direction of the top, the e-book makes a speciality of complex subject matters comparable to functionality, safety, and extensions in Hive, with the intention to consultant you on interesting adventures in this important significant info journey.

By the top of the publication, you'll be accustomed to Hive and ready to paintings successfully to discover recommendations to important information problems.

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Sample text

Skills_score['Perl'] AS Perl, . . . > skills_score['Python'] AS Python, . . . > skills_score['Sales'] as Sales, . . . > skills_score['HR'] as HR . . . 669 seconds) Note Note that the column name shown in the result set for Hive is always in lowercase letters. 583 seconds) jdbc:hive2://> SELECT name, . . . > depart_title['Product'] AS Product, . . . > depart_title['Test'] AS Test, . . . > depart_title['COE'] AS COE, . . . > depart_title['Sales'] AS Sales . . . 641 seconds) jdbc:hive2://> SELECT name, .

231 seconds) jdbc:hive2://> SELECT work_place[0] AS col_1, . . . > work_place[1] AS col_2, work_place[2] AS col_3 . . . 659 seconds) jdbc:hive2://> SELECT name, skills_score['DB'] AS DB, . . . > skills_score['Perl'] AS Perl, . . . > skills_score['Python'] AS Python, . . . > skills_score['Sales'] as Sales, . . . > skills_score['HR'] as HR . . . 669 seconds) Note Note that the column name shown in the result set for Hive is always in lowercase letters. 583 seconds) jdbc:hive2://> SELECT name, .

I dedicate this book to my daughter Preface With an increasing interest in big data analysis, Hive over Hadoop becomes a cutting-edge data solution for storing, computing, and analyzing big data. The SQL-like syntax makes Hive easier to learn and popularly accepted as a standard for interactive SQL queries over big data. The variety of features available within Hive provides us with the capability of doing complex big data analysis without advanced coding skills. The maturity of Hive lets it gradually merge and share its valuable architecture and functionalities across different computing frameworks beyond Hadoop.

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