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Learn Hive in 24 Hours - cover

Learn Hive in 24 Hours

Alex Nordeen

Casa editrice: Publishdrive

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Sinossi

Apache Hive is the new member in database family that works within the Hadoop ecosystem. It provides all great features like data summarization, ad-hoc query, and analysis of large datasets. If you are not a good programmer, then this edition will teach you how to use hive queries without writing complex codes.
 
Most users face the problem of not getting a dedicated course on Hive. The goal of this e-book is to cater everything about Hive and only Hive with minimum jargons. The notes, lessons and hands-on examples in this small e-book are simplified and tactfully presented to solve all your Hive queries. Instead of writing long code for MapReduce or Java, the e-book shows tips on writing the same program with a minimum code snippet.
 
Beginners as well as peers will thoroughly enjoy this book. They will discover and learn more hive patterns for data processing and data integrations. Unlike other e-book, where they skip basic detail thinking users having prior subject knowledge. This edition has given complete attention to each and every small aspect of the hive like “how to set up and configure Hive in your environment”.
 
This e-book is also helpful for those who just want to explore Hive and don’t want to spend big bucks for short courses. You will quickly learn, apply and share your Hive knowledge with this e-book.
 
Table of content
 
Chapter 1: Introduction
 
What is Hive?
 
Hive Architecture
 
Different modes of Hive
 
What is Hive Server2 (HS2)?
 
Hive vs Map Reduce
 
Chapter 2: Installation and Configuration
 
Installation of Hive
 
Hive shell commands
 
Install and configure MYSQL database
 
Chapter 3: Data operations
 
Data types in Hive
 
Creation and dropping of Database in Hive
 
Create, Drop and altering of tables in Hive
 
Table types and its Usage
 
Partitions
 
Buckets
 
Chapter 4: Queries and Implementation
 
Order by query
 
Group by query
 
Sort by
 
Cluster By
 
Distribute By
 
Join queries
 
Different type of joins
 
Sub queries
 
Embedding custom scripts
 
UDFs (User Define Functions)
 
Chapter 5: Query Language, Built-in Operators and Functions
 
Hive Query Language (HQL)
 
Built-in operators
 
Built-in functions
 
Chapter 6: Data Extraction
 
Working with Structured Data using Hive
 
Working with Semi structured data using Hive (XML, JSON)
 
Hive in Real time projects – When and Where to Use
Disponibile da: 12/11/2021.
Lunghezza di stampa: 280 pagine.

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