HBase in Action


Author: Nick Dimiduk,Amandeep Khurana
Publisher: Manning Publications
ISBN: 9781617290527
Category: Computers
Page: 334
View: 1352
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Provides information on designing, building, and running applications using HBase.

Architecting HBase Applications

A Guidebook for Successful Development and Design
Author: Jean-Marc Spaggiari,Kevin O'Dell
Publisher: "O'Reilly Media, Inc."
ISBN: 1491916117
Category: Computers
Page: 252
View: 7856
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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

Professional Hadoop Solutions


Author: Boris Lublinsky,Kevin T. Smith,Alexey Yakubovich
Publisher: John Wiley & Sons
ISBN: 1118824180
Category: Computers
Page: 504
View: 1805
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The go-to guidebook for deploying Big Data solutions withHadoop Today's enterprise architects need to understand how the Hadoopframeworks and APIs fit together, and how they can be integrated todeliver real-world solutions. This book is a practical, detailedguide to building and implementing those solutions, with code-levelinstruction in the popular Wrox tradition. It covers storing datawith HDFS and Hbase, processing data with MapReduce, and automatingdata processing with Oozie. Hadoop security, running Hadoop withAmazon Web Services, best practices, and automating Hadoopprocesses in real time are also covered in depth. With in-depth code examples in Java and XML and the latest onrecent additions to the Hadoop ecosystem, this complete resourcealso covers the use of APIs, exposing their inner workings andallowing architects and developers to better leverage and customizethem. The ultimate guide for developers, designers, and architectswho need to build and deploy Hadoop applications Covers storing and processing data with various technologies,automating data processing, Hadoop security, and deliveringreal-time solutions Includes detailed, real-world examples and code-levelguidelines Explains when, why, and how to use these tools effectively Written by a team of Hadoop experts in theprogrammer-to-programmer Wrox style Professional Hadoop Solutions is the reference enterprisearchitects and developers need to maximize the power of Hadoop.

HBase High Performance Cookbook


Author: Ruchir Choudhry
Publisher: Packt Publishing Ltd
ISBN: 1783983078
Category: Computers
Page: 350
View: 7150
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Exciting projects that will teach you how complex data can be exploited to gain maximum insights About This Book Architect a good HBase cluster for a very large distributed system Get to grips with the concepts of performance tuning with HBase A practical guide full of engaging recipes and attractive screenshots to enhance your system's performance Who This Book Is For This book is intended for developers and architects who want to know all about HBase at a hands-on level. This book is also for big data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic scalable database solution in the big data space. What You Will Learn Configure HBase from a high performance perspective Grab data from various RDBMS/Flat files into the HBASE systems Understand table design and perform CRUD operations Find out how the communication between the client and server happens in HBase Grasp when to use and avoid MapReduce and how to perform various tasks with it Get to know the concepts of scaling with HBase through practical examples Set up Hbase in the Cloud for a small scale environment Integrate HBase with other tools including ElasticSearch In Detail Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We'll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we'll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we'll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance. Style and approach This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python, and Ruby users.

Hbase Administration Cookbook


Author: Yifeng Jiang
Publisher: Packt Publishing Ltd
ISBN: 1849517150
Category: Computers
Page: 332
View: 2845
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As part of Packt's cookbook series, each recipe offers a practical, step-by-step solution to common problems found in HBase administration. This book is for HBase administrators, developers, and will even help Hadoop administrators. You are not required to have HBase experience, but are expected to have a basic understanding of Hadoop and MapReduce.

HBase

The Definitive Guide
Author: Lars George
Publisher: "O'Reilly Media, Inc."
ISBN: 1449396100
Category: Computers
Page: 522
View: 6998
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If your organization is looking for a storage solution to accommodate a virtually endless amount of data, this book will show 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.HBase: The Definitive Guideprovides the details you require, whether you simply want to evaluate this high-performance, non-relational database, or put it into practice right away. HBase's adoption rate is beginning to climb, and several IT executives are asking pointed questions about this high-capacity database. This is the only book available to give you meaningful answers. Learn how to distribute large datasets across an inexpensive cluster of commodity servers Develop HBase clients in many programming languages, including Java, Python, and Ruby Get details on HBase's primary storage system, HDFS—Hadoop’s distributed and replicated filesystem Learn how HBase's native interface to Hadoop’s MapReduce framework enables easy development and execution of batch jobs that can scan entire tables Discover the integration between HBase and other facets of the Apache Hadoop project

HBase: The Definitive Guide

Random Access to Your Planet-Size Data
Author: Lars George
Publisher: "O'Reilly Media, Inc."
ISBN: 1449315224
Category: Computers
Page: 556
View: 3570
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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

Proceedings of the ... ACM SIGPLAN Haskell Workshop


Author: N.A
Publisher: N.A
ISBN: 9781581137583
Category: Haskell (Computer program language)
Page: 108
View: 8886
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Hadoop Beginner's Guide


Author: Garry Turkington
Publisher: Packt Publishing Ltd
ISBN: 1849517304
Category: Computers
Page: 398
View: 6150
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Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills. "Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems. Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems. While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection. In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.

Hadoop MapReduce v2 Cookbook - Second Edition


Author: Thilina Gunarathne
Publisher: Packt Publishing Ltd
ISBN: 1783285486
Category: Computers
Page: 322
View: 729
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If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.

Clojure in Action


Author: Amit Rathore
Publisher: Manning Publications
ISBN: 9781935182597
Category: Computers
Page: 410
View: 4825
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Clojure is a new version of Lisp that runs on the Java Virtual Machine. "Clojure in Action" is a hands-on tutorial for the working programmer who has written code in a language like Java or Ruby, but has no prior experience with Lisp.

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data


Author: IBM Paul Zikopoulos,Chris Eaton,Paul Zikopoulos
Publisher: McGraw Hill Professional
ISBN: 0071790535
Category: Computers
Page: 176
View: 7757
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Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Apache ZooKeeper Essentials


Author: Saurav Haloi
Publisher: Packt Publishing Ltd
ISBN: 1784398322
Category: Computers
Page: 168
View: 8624
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Whether you are a novice to ZooKeeper or already have some experience, you will be able to master the concepts of ZooKeeper and its usage with ease. This book assumes you to have some prior knowledge of distributed systems and high-level programming knowledge of C, Java, or Python, but no experience with Apache ZooKeeper is required.

Machine Learning with Spark


Author: Nick Pentreath
Publisher: Packt Publishing Ltd
ISBN: 1783288523
Category: Computers
Page: 338
View: 6448
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If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. While it may be useful to have a basic understanding of Spark, no previous experience is required.

ECAI-'88

Proceedings of the 8th European Conference on Artificial Intelligence ... Aug. 1-5, 1988
Author: Bernd Radig
Publisher: Morgan Kaufmann Pub
ISBN: N.A
Category: Artificial intelligence
Page: 739
View: 1974
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Open Source Data Warehousing and Business Intelligence


Author: Lakshman Bulusu
Publisher: CRC Press
ISBN: 1466578769
Category: Computers
Page: 432
View: 5306
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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

Big Data, Big Analytics

Emerging Business Intelligence and Analytic Trends for Today's Businesses
Author: Michael Minelli,Michele Chambers,Ambiga Dhiraj
Publisher: John Wiley & Sons
ISBN: 1118239156
Category: Business & Economics
Page: 224
View: 2510
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Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Contra la tentación populista

& La melancolía y el acto
Author: Slavoj Žižek
Publisher: Ediciones Godot
ISBN: 9874086637
Category: Philosophy
Page: 128
View: 6313
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La principal característica del capitalismo consiste en su desequilibrio estructural inherente, su carácter antagónico más profundo: la crisis constante, la constante revolución de las condiciones de su existencia. El capitalismo no tiene un estado “normal” de equilibrio: su estado “normal” es la constante producción de un exceso; la única manera para sobrevivir que tiene el capitalismo es expandirse. Por eso, el capitalismo se encuentra atrapado en una especie de bucle, un círculo vicioso, claramente descrito por Marx: al producir más que cualquier otra formación socioeconómica para satisfacer las necesidades humanas, el capitalismo también produce más necesidades por satisfacer: cuanto mayor es la riqueza, mayor es la necesidad de producir más riqueza. Existe una especie de homología estructural entre el capitalismo y la noción freudiana del superyó. La paradoja básica del superyó también se refiere a cierto desequilibrio estructural: cuanto más obedecemos sus órdenes, más culpables nos sentimos, por lo que la renuncia solo implica la demanda de más renuncias, el arrepentimiento más culpa, tal como en el capitalismo, donde un aumento en la producción para satisfacer la falta solo amplía la falta.

Readings in Planning


Author: James Allen,James A. Hendler,Austin Tate
Publisher: Morgan Kaufmann Pub
ISBN: 9781558601307
Category: Science
Page: 754
View: 2438
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This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to support reasoning about complex planning situations involving simultaneous interacting actions, and interaction with external events. Finally, Josh Tenenberg introduces two different formalisms of abstraction in planning systems and explores the properties of these abstraction techniques in depth.

Machine Intelligence


Author: E. W. Elcock,D. Michie
Publisher: N.A
ISBN: N.A
Category: Artificial intelligence
Page: 680
View: 2583
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Vols. 1-6 (1967-1971) comprise Proceedings of the Machine Intelligence Workshop; v. 7 (1972)- based on the International Machine Intelligence Workshop.