Apache Flume PDF Download
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Author: Steve Hoffman
Publisher: Packt Pub Limited
ISBN: 9781784392178
Category : Computers
Languages : en
Pages : 178
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Book Description
Author: Steve Hoffman
Publisher: Packt Pub Limited
ISBN: 9781784392178
Category : Computers
Languages : en
Pages : 178
Get Book
Book Description
Author:
Publisher:
ISBN: 9789351102519
Category :
Languages : en
Pages :
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Book Description
Author: Steve Hoffman
Publisher: Packt Publishing Ltd
ISBN: 1784399140
Category : Computers
Languages : en
Pages : 178
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Book Description
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.
Author: Krzysztof Rakowski
Publisher: Packt Publishing Ltd
ISBN: 1785888676
Category : Computers
Languages : en
Pages : 204
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Book Description
Make applications cross-communicate using Apache Thrift! About This Book Leverage Apache Thrift to enable applications written in different programming languages (Java, C++, Python, PHP, Ruby, and so on) to cross-communicate. Learn to make your services ready for real-world applications by using stepwise examples and modifying code from Industry giants. Be a crackerjack at solving Apache Thrift-related issues. Who This Book Is For If you have some experience of developing applications in one or more languages supported by Apache Thrift (C++, Java, PHP, Python, Ruby, and others) and want to broaden your knowledge and skills in building cross-platform, scalable applications, then this book is for you. What You Will Learn Understand the need for cross-language services and the basics of Apache Thrift. Learn how Apache Thrift works and what problems it solves. Determine when to use Apache Thrift instead of other methods (REST API), and when not to use it. Create and run an example application using Apache Thrift. Use Apache Thrift in your applications written in different languages supported by Apache Thrift (PHP, Python, Ruby, Java, and C++). Handle exceptions and deal with errors. Modify code in different languages. Use Apache Thrift in the production environments of big applications. In Detail With modern software systems being increasingly complex, providing a scalable communication architecture for applications in different languages is tedious. The Apache Thrift framework is the solution to this problem! It helps build efficient and easy-to-maintain services and offers a plethora of options matching your application type by supporting several popular programming languages, including C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml, and Delphi. This book will help you set aside the basics of service-oriented systems through your first Apache Thrift-powered app. Then, progressing to more complex examples, it will provide you with tips for running large-scale applications in production environments. You will learn how to assess when Apache Thrift is the best tool to be used. To start with, you will run a simple example application, learning the framework's structure along the way; you will quickly advance to more complex systems that will help you solve various real-life problems. Moreover, you will be able to add a communication layer to every application written in one of the popular programming languages, with support for various data types and error handling. Further, you will learn how pre-eminent companies use Apache Thrift in their popular applications. This book is a great starting point if you want to use one of the best tools available to develop cross-language applications in service-oriented architectures. Style and approach A stepwise guide to learning Apache Thrift, with ready-to-run examples explained comprehensively. Advanced topics supply the inspiration for further work.
Author: Hrishikesh Vijay Karambelkar
Publisher: Packt Publishing Ltd
ISBN: 1783553405
Category : Computers
Languages : en
Pages : 166
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Book Description
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.
Author: Sam R. Alapati
Publisher: Addison-Wesley Professional
ISBN: 0134703383
Category : Computers
Languages : en
Pages : 2087
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Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” —Paul Dix, Series Editor In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop
Author: Steve Hoffman
Publisher: Packt Publishing Ltd
ISBN: 1782167927
Category : Computers
Languages : en
Pages : 166
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Book Description
A starter guide that covers Apache Flume in detail.Apache Flume: Distributed Log Collection for Hadoop is intended for people who are responsible for moving datasets into Hadoop in a timely and reliable manner like software engineers, database administrators, and data warehouse administrators
Author: Mrutyunjaya Panda
Publisher: CRC Press
ISBN: 1351622595
Category : Business & Economics
Languages : en
Pages : 316
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Book Description
Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.
Author: Atif Ali
Publisher: CRC Press
ISBN: 1000986691
Category : Computers
Languages : en
Pages : 343
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Book Description
Discover the hidden depths of the digital underworld in this comprehensive, interdisciplinary exploration of the dark web. Ideal for security agencies, professionals, counter-terrorism experts, and policymakers alike, this work offers invaluable insights that will enhance understanding and fortify strategies. By shedding particular light on the nuances of the ‘dark market,’ this book provides readers with a detailed understanding of the dark web, encompassing both its sinister underbelly and unexpected potential. This book also uncovers the latest trends and cutting-edge mitigation techniques. From illicit transactions to thriving business ventures, it examines the key domains and sectors that thrive within this clandestine environment. This book consolidates myriad perspectives on security and threats on the dark web.
Author: Thomas W. Dinsmore
Publisher: Apress
ISBN: 1484213114
Category : Computers
Languages : en
Pages : 276
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Book Description
Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
