Architecting HBase Applications

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Release : 2016-07-18
Genre : Computers
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Book Rating : 117/5 ( reviews)

Architecting HBase Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Architecting HBase Applications write by Jean-Marc Spaggiari. This book was released on 2016-07-18. Architecting HBase Applications available in PDF, EPUB and Kindle. Lots of HBase books, online HBase guides, and HBase mailing lists/forums are available if you need to know how HBase works. But if you want to take a deep dive into use cases, features, and troubleshooting, Architecting HBase Applications is the right source for you. With this book, you'll learn a controlled set of APIs that coincide with use-case examples and easily deployed use-case models, as well as sizing/best practices to help jump start your enterprise application development and deployment.

Architecting HBase Applications

Download Architecting HBase Applications PDF Online Free

Author :
Release : 2016-07-18
Genre : Computers
Kind :
Book Rating : 109/5 ( reviews)

Architecting HBase Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Architecting HBase Applications write by Jean-Marc Spaggiari. This book was released on 2016-07-18. Architecting HBase Applications available in PDF, EPUB and Kindle. HBase is a remarkable tool for indexing mass volumes of data, but getting started with this distributed database and its ecosystem can be daunting. With this hands-on guide, you’ll learn how to architect, design, and deploy your own HBase applications by examining real-world solutions. Along with HBase principles and cluster deployment guidelines, this book includes in-depth case studies that demonstrate how large companies solved specific use cases with HBase. Authors Jean-Marc Spaggiari and Kevin O’Dell also provide draft solutions and code examples to help you implement your own versions of those use cases, from master data management (MDM) and document storage to near real-time event processing. You’ll also learn troubleshooting techniques to help you avoid common deployment mistakes. Learn exactly what HBase does, what its ecosystem includes, and how to set up your environment Explore how real-world HBase instances were deployed and put into production Examine documented use cases for tracking healthcare claims, digital advertising, data management, and product quality Understand how HBase works with tools and techniques such as Spark, Kafka, MapReduce, and the Java API Learn how to identify the causes and understand the consequences of the most common HBase issues

HBase: The Definitive Guide

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Release : 2011-08-29
Genre : Computers
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Book Rating : 224/5 ( reviews)

HBase: The Definitive Guide - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook HBase: The Definitive Guide write by Lars George. This book was released on 2011-08-29. HBase: The Definitive Guide available in PDF, EPUB and Kindle. If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away. Discover how tight integration with Hadoop makes scalability with HBase easier Distribute large datasets across an inexpensive cluster of commodity servers Access HBase with native Java clients, or with gateway servers providing REST, Avro, or Thrift APIs Get details on HBase’s architecture, including the storage format, write-ahead log, background processes, and more Integrate HBase with Hadoop's MapReduce framework for massively parallelized data processing jobs Learn how to tune clusters, design schemas, copy tables, import bulk data, decommission nodes, and many other tasks

HBase in Action

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Release : 2012-11-01
Genre : Computers
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Book Rating : 355/5 ( reviews)

HBase in Action - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook HBase in Action write by Amandeep Khurana. This book was released on 2012-11-01. HBase in Action available in PDF, EPUB and Kindle. Summary HBase in Action has all the knowledge you need to design, build, and run applications using HBase. First, it introduces you to the fundamentals of distributed systems and large scale data handling. Then, you'll explore real-world applications and code samples with just enough theory to understand the practical techniques. You'll see how to build applications with HBase and take advantage of the MapReduce processing framework. And along the way you'll learn patterns and best practices. About the Technology HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns. About this Book HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You'll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside When and how to use HBase Practical examples Design patterns for scalable data systems Deployment, integration, and design Written for developers and architects familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required. Table of Contents PART 1 HBASE FUNDAMENTALS Introducing HBase Getting started Distributed HBase, HDFS, and MapReduce PART 2 ADVANCED CONCEPTS HBase table design Extending HBase with coprocessors Alternative HBase clients PART 3 EXAMPLE APPLICATIONS HBase by example: OpenTSDB Scaling GIS on HBase PART 4 OPERATIONALIZING HBASE Deploying HBase Operations

Architecting Modern Data Platforms

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Release : 2018-12-05
Genre : Computers
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Book Rating : 229/5 ( reviews)

Architecting Modern Data Platforms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Architecting Modern Data Platforms write by Jan Kunigk. This book was released on 2018-12-05. Architecting Modern Data Platforms available in PDF, EPUB and Kindle. There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability