Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive In Detail In this book, we prepare you for your journey into big data. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive. Apache Hive Essentials, 2nd Edition. By Guido Del Castillo. eBook (PDF), Pages. This item has not been rated yet. Apache Hive Essentials.
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Chapter 6: Towards 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. If you are a data analyst, developer, or simply someone who wants to use Hive to explore and analyze data in Hadoop, this is the book for you. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive. How does it fare? Every Packt product delivers a specific learning pathway, broadly defined by the Series type. Write a customer review.
Apache Hive Essentials, Second Edition prepares your journey to big data by covering the introduction of backgrounds and concepts in the big data domain, along with the process of setting up and getting familiar with your Hive working environment in the first two chapters. In the next four chapters, the book guides you through discovering and transforming the value behind big data using examples and skills of Hive query languages.
In the last four chapters, the book highlights the well-selected and advanced topics, such as performance, security, and extensions, as exciting adventures for this worthwhile big data journey.
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Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive. Are you sure you want to claim this product using a token? Dayong Du February Quick links: What do I get with a Packt subscription?
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Apache Kafka 1. Paperback pages. Book Description In this book, we prepare you for your journey into big data by firstly introducing you to backgrounds in the big data domain along with the process of setting up and getting familiar with your Hive working environment.
Table of Contents Chapter 1: Overview of Big Data and Hive. Chapter 2: Setting Up the Hive Environment. Chapter 3: Data Definition and Description.
Chapter 4: Data Selection and Scope. Chapter 5: Data Manipulation. Chapter 6: Data Aggregation and Sampling. Chapter 7: Performance Considerations. Chapter 8: Extensibility Considerations. Chapter 9: Security Considerations. Chapter Working with Other Tools. What 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.
Authors Dayong Du. Read More. Read More Reviews. Recommended for You. Data Processing and Modelling.