Du Apache Hive Essentials

Essential techniques to help you process, and get unique insights from, big data
2. Auflage 2024
ISBN: 978-1-78913-651-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 210 Seiten

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key Features - Grasp the skills needed to write efficient Hive queries to analyze the Big Data
- Discover how Hive can coexist and work with other tools within the Hadoop ecosystem
- Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3
Book DescriptionIn this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problemsWhat you will learn - Create and set up the Hive environment
- Discover how to use Hive s definition language to describe data
- Discover interesting data by joining and filtering datasets in Hive
- Transform data by using Hive sorting, ordering, and functions
- Aggregate and sample data in different ways
- Boost Hive query performance and enhance data security in Hive
- Customize Hive to your needs by using user-defined functions and integrate it with other tools
Who this book is forIf you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.

Autoren/Hrsg.

Du, Dayong

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - OVERVIEW OF BIG DATA AND HIVE
- SETTING UP THE HIVE ENVIRONMENT
- DATA DEFINITION AND DESCRIPTION
- Data Correlation and Scope
- DATA MANIPULATION

- DATA AGGREGATION AND SAMPLING
- Extensibility Considerations
- Working with Other Tools
- Performance Considerations
- Security Considerations

Über Autor(innen)

Du Dayong :

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.