Pro Hortonworks Data Platform
Harness the Power and Promise of Big Data with HDP
(Sprache: Englisch)
Companies are finding new sources of valuable data - from social media to clickstreams to server logs to machine and geolocation data - and they know they need to employ big data tools, like Hadoop, to make the best use of it. Many organizations are turning...
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Companies are finding new sources of valuable data - from social media to clickstreams to server logs to machine and geolocation data - and they know they need to employ big data tools, like Hadoop, to make the best use of it. Many organizations are turning to Hortonworks - started by twenty-four of the original team of Yahoo! engineers that developed Hadoop - a company that has emerged as one of the key vendors helping enterprise customers make use of Hadoop to gain new, powerful insights into customer needs and wants.The company's flagship product, Hortonworks Data Platform (HDP), is more than a product. It is a platform and a suite of tools that together create a framework for loading, managing, accessing and analyzing massive volumes of data no matter the format or schema. Pro Hortonworks Data Platform: Harness the Power and Promise of Big Data with HDP , written by Hadoop and HDP expert Stephen Giles, is designed to help readers gain full advantage from HDP. The book - which assumes no prior knowledge of Hadoop - provides an understanding of all facets of HDP and how the various parts work both together and within a larger data platform. It is the insightful "missing manual" that all HDP users need to understand the platform in depth and how to use it to best advantage.
Pro Hortonworks Data Platform provides a deep understanding of the specific components that make HDP so powerful. The book will:
Show how to install, configure, and secure HDP and all its components
Illustrate the full lifecycle of a big data project using HDP Provide a deep understanding of Yarn, the core engine of Hadoop
Show how to leverage HDP/Apache tools like Pig, Hive, Hbase, and Solr to harness data Pro Hortonworks Data Platform provides insight and hands-on examples of how to work with each tool within the Hortonworks framework. Developers and IT pros will be able to get an understanding of Hadoop and its supporting tools, as well as a clear sense of where and when to take
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advantage of its power. This book will not only show you how to process data effectively - it will show you how to take advantage of the business opportunities that lie within that data.
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Inhaltsverzeichnis zu „Pro Hortonworks Data Platform “
Chapter 1: Introduction to Hortonworks Data Platform (HDP)Chapter Goal: This chapter will set the stage for the rest of the book. It will discuss Hadoop and Big Data at a high level for those not familiar with this concepts. It will be the only general knowledge chapter in the book. This secondary purpose is to give the big picture of all the parts of the Hortonworks HDP ecosystem and put those parts in context.
- A brief history of Hadoop
- Brief overview of the big data landscape and where Hadoop fits in
- Top level overview of the Hortonworks Data Platform and Enterprise Hadoop
Chapter 2: Understanding HDFS
Chapter Goal: HDFS is a distributed storage system that form Hadoop. This chapter will define the base principles of Hadoop in HDP and how to work with MapReduce.
- Understanding HDFS architecture
- Understanding how data is stored in HDFS
- Understanding the relationship between NameNodes and DataNotes
- Working with WebHDFS and Hadoop fs commands
Chapter 3: Understanding YARN
Chapter Goal: YARN is the "operating system" of HDP. YARN allows both batch and real time access to data. This chapter will provide a deep understanding of Yarn and how it is employed in HDP.
- Description of the architecture of Yarn and its relationship to HDFS
- Understanding the components of Yarn (ResourceManager, NodeManager, ApplicationMasters and Containers) as configured in HDP
- Understanding MapReduce and how MapReduce jobs are executed under YARN
Chapter 4: Getting at Your Data
Chapter Goal: HDP has a number of tools to query and explore your data without needing to write complex MapReduce jobs. This chapter will look at the key tools for accessing data in HDP.
Autoren-Porträt von Stephen Giles, Umair Khan
Stephen Giles, MCSE, MCDBA, MCT/strong is the director of technology for a Web media company. He currently oversees two Web farms and a multi-site network running Microsoft server technologies. Giles is the coauthor of em MCSA Windows Server 2003 Certification All-in-One Exam Guide.
Bibliographische Angaben
- Autoren: Stephen Giles , Umair Khan
- 2015, 400 Seiten, Maße: 19,1 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: APress
- ISBN-10: 148420669X
- ISBN-13: 9781484206690
Sprache:
Englisch
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