Learn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database. It covers the HBase data model, architecture, schema design, API, and administration.
Apache HBase is the database for the Apache Hadoop framework. HBase is a column family based NoSQL database that provides more » a flexible schema model.
What You'll Learn
* Work with the core concepts of HBase
* Discover the HBase data model, schema design, and architecture
* Use the HBase API and administration
Who This Book Is For
Apache HBase (NoSQL) database users, designers, developers, and admins. « less
Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets
Starting with installing Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, with this book, you will soon learn about many exciting topics such as MapReduce patterns, using Hadoop to solve analytics, classifications, online marketing, recommendations, and data indexing and searching. more » You will learn how to take advantage of Hadoop ecosystem projects including Hive, HBase, Pig, Mahout, Nutch, and Giraph and be introduced to deploying in cloud environments.
Finally, you will be able to apply the knowledge you have gained to your own real-world scenarios to achieve the best-possible results. « less
Design and implement successful patterns to develop scalable applications with HBase
With the increasing use of NoSQL in general and HBase in particular, knowing how to build practical applications depends on the application of design patterns. These patterns, distilled from extensive practical experience of multiple demanding projects, guarantee the correctness and scalability of the more » HBase application. They are also generally applicable to most NoSQL databases.
Starting with the basics, this book will show you how to install HBase in different node settings. You will then be introduced to key generation and management and the storage of large files in HBase. Moving on, this book will delve into the principles of using time-based data in HBase, and show you some cases on denormalization of data while working with HBase. Finally, you will learn how to translate the familiar SQL design practices into the NoSQL world. With this concise guide, you will get a better idea of typical storage patterns, application design templates, HBase explorer in multiple scenarios with minimum effort, and reading data from multiple region servers. « less
Learn the fundamentals of HBase administration and development with the help of real-time scenarios
ABOUT THIS BOOK
* Learn how HBase works with large data sets and integrates them with Hadoop
* Understand the layout and structure of HBase
* A step-by-step guide accompanied by practical examples that will focus on the core tasks of HBase
WHO THIS BOOK IS FOR
If you are an administrator or developer more » who wants to enter the world of Big Data and BigTables and would like to learn about HBase, this is the book for you.
WHAT YOU WILL LEARN
* Understand the fundamentals of HBase
* Understand the prerequisites necessary to get started with HBase
* Install and configure a new HBase cluster
* Optimize an HBase cluster using different Hadoop and HBase parameters
* Make clusters more reliable using different troubleshooting and maintenance techniques
* Get to grips with the HBase data model and its operations
* Get to know the benefits of using Hadoop tools/JARs for HBase
Apache HBase is a nonrelational NoSQL database management system that runs on top of HDFS. It is an open source, distributed, versioned, column-oriented store. It facilitates the tech industry with random, real-time read/write access to your Big Data with the benefit of linear scalability on the fly.
This book will take you through a series of core tasks in HBase. The introductory chapter will give you all the information you need about the HBase ecosystem. Furthermore, you'll learn how to configure, create, verify, and test clusters. The book also explores different parameters of Hadoop and HBase that need to be considered for optimization and a trouble-free operation of the cluster. It will focus more on HBase's data model, storage, and structure layout. You will also get to know the different options that can be used to speed up the operation and functioning of HBase. The book will also teach the users basic- and advance-level coding in Java for HBase. By the end of the book, you will have learned how to use HBase with large data sets and integrate them with Hadoop. « less
Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Everything you need to know about Cloudera Impala is here – from installation onwards. Your raw data processing in Hadoop takes on new dimensions of speed and volume with this hands-on tutorial.
* Step-by-step guidance to get you started with Impala on your Hadoop cluster
* Manipulate more » your data rapidly by writing proper SQL statements
* Explore the concepts of Impala security, administration, and troubleshooting in detail to maintain your Impala cluster
If you have always wanted to crunch billions of rows of raw data on Hadoop in a couple of seconds, then Cloudera Impala is the number one choice for you. Cloudera Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase. In addition to using the same unified storage platform, Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface (Hue Beeswax) as Apache Hive. This provides a familiar and unified platform for batch-oriented or real-time queries.
In this practical, example-oriented book, you will learn everything you need to know about Cloudera Impala so that you can get started on your very own project. The book covers everything about Cloudera Impala from installation, administration, and query processing, all the way to connectivity with other third party applications. With this book in your hand, you will find yourself empowered to play with your data in Hadoop.
As a reader of this book, you will learn about the origin of Impala and the technology behind it that allows it to run on thousands of machines. You will learn how to install, run, manage, and troubleshoot Impala in your own Hadoop cluster using the step-by-step guidance provided in the book. The book covers tenets of data processing such as loading data stored in Hadoop into Impala tables and querying data using Impala SQL statements, all with various code illustrations and a real-world example.
The book is written to get you started with Impala by providing rich information so you can understand what Impala is, what it can do for you, and finally how you can use it to achieve your objective.
What you will learn from this book
* Understand the various ways of installing Impala in your Hadoop cluster
* Use the Impala shell API to interact with Impala components
* Utilize Impala Query Language and built-in functions to play with data
* Administrate and fine-tune Impala for high availability
* Identify and troubleshoot problems in a variety of ways
* Get acquainted with various input data formats in Hadoop and how to use them with Impala
* Comprehend how third party applications can connect with Impala to provide data visualization and various other enhancements
This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full.
Who this book is written for
Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hadoop and some exposure to HIVE and MapReduce is expected. « less