Hadoop (Mehr als 1.100 Ergebnisse)

Paperback. Zustand: Very Good. Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book's second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you're designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process.This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and using windowing analytics Giraph, GraphX, and other tools for large graph processing on Hadoop Using workflow orchestration and scheduling tools such as Apache Oozie Near-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache Flume Architecture examples for clickstream analysis, fraud detection, and data warehousing.…

Paperback. Zustand: Good. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop.

Paperback. Zustand: Good. Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed.…

Paperback. Zustand: Very Good. Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed.…

Paperback. Zustand: Good. If you've been tasked with the job of maintaining large and complex Hadoop clusters, or are about to be, this book is a must. You'll learn the particulars of Hadoop operations, from planning, installing, and configuring the system to providing ongoing maintenance. Hadoop is being adopted by more and more Fortune 500 companies, and the demand for operations-specific material has skyrocketed. This book - written by Eric Sammer, Principal Solution Architect at Cloudera - is the definitive operations guide for administrators. Developers who want to improve MapReduce jobs by learning how Hadoop works in large production environments will also benefit. Application administrators responsible for the health and operation of large distributed applications or systems will find this guide extremely useful.…

Paperback. Zustand: Very Good. Apache Hadoop is ideal for organizations with a growing need to store and process massive application datasets. With Hadoop: The Definitive Guide, programmers will find details for analyzing large datasets with Hadoop, and administrators will learn how to set up and run Hadoop clusters.…

Paperback. Zustand: Good. Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you'll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It's ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.…

Paperback. Zustand: Good. Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job.

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Zustand: Good. Apache Hadoop is the technology at the heart of the Big Data revolution, and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to deploy each key component of a Hadoop platform in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping you master all of Hadoop's essentials, and extend it to meet your unique challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this, and much more: Understanding Hadoop and the Hadoop Distributed File System (HDFS) Importing data into Hadoop, and process it there Mastering basic MapReduce Java programming, and using advanced MapReduce API concepts Making the most of Apache Pig and Apache Hive Implementing and administering YARN Taking advantage of the full Hadoop ecosystem Managing Hadoop clusters with Apache Ambari Working with the Hadoop User Environment (HUE) Scaling, securing, and troubleshooting Hadoop environments Integrating Hadoop into the enterprise Deploying Hadoop in the cloud Getting started with Apache Spark Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Hadoop to solve a wide spectrum of Big Data problems.…

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Fair. Revised, Updated. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Zustand: Good. HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google?s MapReduce framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers who have to process large amounts of data offline. The book begins with several simple examples that illustrate the basic idea behind Hadoop. Later chapters explain the core framework components and demonstrate Hadoop in a variety of data analysis tasks. Throughout the book, readers will learn best practices and design patterns, and how to write meaningful programs in a MapReduce framework. KEY POINTS ? Explains distributed computing, MapReduce, and the Hadoop framework ? Focuses on most-used features and rapid development solutions ? Numerous hands-on examples to illustrate abstract ideas ? Concise, developer-centric, ?In Action? style ? Multiple case studies demonstrate real-world Hadoop uses ? Covers popular Hadoop extensions that ease development and extend functionality. …

Paperback. Zustand: Fair. Organizations large and small are adopting Apache Hadoop to deal with huge application datasets. Hadoop is ideal for storing and processing massive amounts of data. This title demonstrates how to use Hadoop to build reliable, scalable, distributed systems. It helps programmers find details for analyzing large datasets with Hadoop.…

Paperback. Zustand: Fair. HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google?s MapReduce framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers who have to process large amounts of data offline. The book begins with several simple examples that illustrate the basic idea behind Hadoop. Later chapters explain the core framework components and demonstrate Hadoop in a variety of data analysis tasks. Throughout the book, readers will learn best practices and design patterns, and how to write meaningful programs in a MapReduce framework. KEY POINTS ? Explains distributed computing, MapReduce, and the Hadoop framework ? Focuses on most-used features and rapid development solutions ? Numerous hands-on examples to illustrate abstract ideas ? Concise, developer-centric, ?In Action? style ? Multiple case studies demonstrate real-world Hadoop uses ? Covers popular Hadoop extensions that ease development and extend functionality. …

Paperback. Zustand: Very Good. HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google?s MapReduce framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers who have to process large amounts of data offline. The book begins with several simple examples that illustrate the basic idea behind Hadoop. Later chapters explain the core framework components and demonstrate Hadoop in a variety of data analysis tasks. Throughout the book, readers will learn best practices and design patterns, and how to write meaningful programs in a MapReduce framework. KEY POINTS ? Explains distributed computing, MapReduce, and the Hadoop framework ? Focuses on most-used features and rapid development solutions ? Numerous hands-on examples to illustrate abstract ideas ? Concise, developer-centric, ?In Action? style ? Multiple case studies demonstrate real-world Hadoop uses ? Covers popular Hadoop extensions that ease development and extend functionality.…

Paperback. Zustand: Good. Organizations large and small are adopting Apache Hadoop to deal with huge application datasets. Hadoop is ideal for storing and processing massive amounts of data. This title demonstrates how to use Hadoop to build reliable, scalable, distributed systems. It helps programmers find details for analyzing large datasets with Hadoop.…

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Zustand: Good. Good condition. With access code! A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. Revised, Updated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.