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Scaling Big Data With Hadoop And Solr Second Edition


Scaling Big Data With Hadoop And Solr Second Edition
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Scaling Big Data With Hadoop And Solr Second Edition


Scaling Big Data With Hadoop And Solr Second Edition
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-27

Scaling Big Data With Hadoop And Solr Second Edition written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Computers categories.


This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.



Data Lake Development With Big Data


Data Lake Development With Big Data
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Author : Pradeep Pasupuleti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-11-26

Data Lake Development With Big Data written by Pradeep Pasupuleti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-26 with Computers categories.


Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This Book Comprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architecture Efficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalability Packed with industry best practices and use-case scenarios to get you up-and-running Who This Book Is For This book is for architects and senior managers who are responsible for building a strategy around their current data architecture, helping them identify the need for a Data Lake implementation in an enterprise context. The reader will need a good knowledge of master data management and information lifecycle management, and experience of Big Data technologies. What You Will Learn Identify the need for a Data Lake in your enterprise context and learn to architect a Data Lake Learn to build various tiers of a Data Lake, such as data intake, management, consumption, and governance, with a focus on practical implementation scenarios Find out the key considerations to be taken into account while building each tier of the Data Lake Understand Hadoop-oriented data transfer mechanism to ingest data in batch, micro-batch, and real-time modes Explore various data integration needs and learn how to perform data enrichment and data transformations using Big Data technologies Enable data discovery on the Data Lake to allow users to discover the data Discover how data is packaged and provisioned for consumption Comprehend the importance of including data governance disciplines while building a Data Lake In Detail A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications. This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data. Style and approach Data Lake Development with Big Data provides architectural approaches to building a Data Lake. It follows a use case-based approach where practical implementation scenarios of each key component are explained. It also helps you understand how these use cases are implemented in a Data Lake. The chapters are organized in a way that mimics the sequential data flow evidenced in a Data Lake.



Scaling Big Data With Hadoop And Solr Second Edition


Scaling Big Data With Hadoop And Solr Second Edition
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing
Release Date : 2015-04-30

Scaling Big Data With Hadoop And Solr Second Edition written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-30 with Computers categories.




Handbook Of Research On Big Data Storage And Visualization Techniques


Handbook Of Research On Big Data Storage And Visualization Techniques
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Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2018-01-05

Handbook Of Research On Big Data Storage And Visualization Techniques written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Computers categories.


The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.



Encyclopedia Of Computer Science And Technology Second Edition Set


Encyclopedia Of Computer Science And Technology Second Edition Set
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Author : Phillip A. Laplante
language : en
Publisher: CRC Press
Release Date : 2017-10-02

Encyclopedia Of Computer Science And Technology Second Edition Set written by Phillip A. Laplante and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-02 with Computers categories.


With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.



Scaling Apache Solr


Scaling Apache Solr
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-07-25

Scaling Apache Solr written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Computers categories.


This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.



Knowledge Discovery Knowledge Engineering And Knowledge Management


Knowledge Discovery Knowledge Engineering And Knowledge Management
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Author : Ana Fred
language : en
Publisher: Springer
Release Date : 2017-01-21

Knowledge Discovery Knowledge Engineering And Knowledge Management written by Ana Fred and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-21 with Computers categories.


This book constitutes the thoroughly refereed proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015, held in Lisbon, Portugal, in November 2015. The 25 full papers presented together with 2 invited papers were carefully reviewed and selected from 280 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.



Pro Hadoop Data Analytics


Pro Hadoop Data Analytics
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Author : Kerry Koitzsch
language : en
Publisher: Apress
Release Date : 2016-12-29

Pro Hadoop Data Analytics written by Kerry Koitzsch and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-29 with Computers categories.


Learn advanced analytical techniques and leverage existing tool kits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation. Pro Hadoop Data Analytics emphasizes best practices to ensure coherent, efficient development. A complete example system will be developed using standard third-party components that consist of the tool kits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system. The book also highlights the importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. You'll discover the importance of mix-and-match or hybrid systems, using different analytical components in one application. This hybrid approach will be prominent in the examples. What You'll Learn Build big data analytic systems with the Hadoop ecosystem Use libraries, tool kits, and algorithms to make development easier and more effective Apply metrics to measure performance and efficiency of components and systems Connect to standard relational databases, noSQL data sources, and more Follow case studies with example components to create your own systems Who This Book Is For Software engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.



Apache Flume Distributed Log Collection For Hadoop Second Edition


Apache Flume Distributed Log Collection For Hadoop Second Edition
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Author : Steve Hoffman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-02-25

Apache Flume Distributed Log Collection For Hadoop Second Edition written by Steve Hoffman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-25 with Computers categories.


If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.



Big Data Machine Learning And Applications


Big Data Machine Learning And Applications
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Author : Ripon Patgiri
language : en
Publisher: Springer Nature
Release Date : 2020-11-27

Big Data Machine Learning And Applications written by Ripon Patgiri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.


This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December. The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.