Описание: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations.
Автор: Prajapati, Vignesh Название: Big data analytics with r and hadoop ISBN: 178216328X ISBN-13(EAN): 9781782163282 Издательство: Неизвестно Рейтинг: Цена: 6896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.
About This Book
Write Hadoop MapReduce within R
Learn data analytics with R and the Hadoop platform
Handle HDFS data within R
Understand Hadoop streaming with R
Encode and enrich datasets into R
In Detail
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.
Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.
You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.
What You Will Learn
Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming
Develop and run a MapReduce application that runs with R and Hadoop
Handle HDFS data from within R using RHIPE and RHadoop
Описание: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
The Oracle Press Guide to Big Data Analytics using R
Cowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle's R technologies. Using R to Unlock the Value of Big Data provides an introduction to open source R and describes issues with traditional R and database interaction. The book then offers in-depth coverage of Oracle's strategic R offerings: Oracle R Enterprise, Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop. You can practice your new skills using the end-of-chapter exercises.
Автор: Bengfort Benjamin, Kim Jenny Название: Data Analytics with Hadoop ISBN: 1491913703 ISBN-13(EAN): 9781491913703 Издательство: Wiley Рейтинг: Цена: 4434.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Bhushan Lakhe Название: Practical Hadoop Security ISBN: 1430265442 ISBN-13(EAN): 9781430265443 Издательство: Springer Рейтинг: Цена: 6282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Chapter 1. Understanding Security Concepts
Chapter 2. Introducing Hadoop
Chapter 3. Introducing Hadoop Security
Chapter 4. Open Source Authentication in Hadoop
Chapter 5. Implementing Granular Authorization
Chapter 6. Hadoop Logs: Relating and Interpretation
Chapter 7. Monitoring in Hadoop
Chapter 8. Encryption in Hadoop
Автор: Kumar V. Naresh, Shindgikar Prashant Название: Modern Big Data Processing with Hadoop ISBN: 178712276X ISBN-13(EAN): 9781787122765 Издательство: Неизвестно Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.
Автор: Koitzsch Название: Pro Hadoop Data Analytics ISBN: 1484219090 ISBN-13(EAN): 9781484219096 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn advanced analytical techniques and leverage existing toolkits 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 which go beyond the basics of classification, clustering, and recommendation.In Pro Hadoop Data Analytics best practices are emphasized to ensure coherent, efficient development. A complete example system will be developed using standard third-party components which will consist of the toolkits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.The book emphasizes four important topics:The importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. Best practices and structured design principles. This will include strategic topics as well as the how to example portions.The importance of mix-and-match or hybrid systems, using different analytical components in one application to accomplish application goals. The hybrid approach will be prominent in the examples.Use of existing third-party libraries is key to effective development. Deep dive examples of the functionality of some of these toolkits will be showcased as you develop the example system.
What You'll Learn The what, why, and how of building big data analytic systems with the Hadoop ecosystemLibraries, toolkits, and algorithms to make development easier and more effectiveBest practices to use when building analytic systems with Hadoop, and metrics to measure performance and efficiency of components and systemsHow to connect to standard relational databases, noSQL data sources, and moreUseful case studies and example components which assist you in creating 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.
Автор: Deshpande Tanmay Название: Hadoop Real-World Solutions Cookbook ISBN: 1784395501 ISBN-13(EAN): 9781784395506 Издательство: Неизвестно Рейтинг: Цена: 11217.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Alla Sridhar Название: Big Data Analytics with Hadoop 3 ISBN: 1788628845 ISBN-13(EAN): 9781788628846 Издательство: Неизвестно Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Apache Hadoop is the most popular platform for big data processing to build powerful analytics solutions. This book shows you how to do just that, with the help of practical examples. You will be well-versed with the analytical capabilities of Hadoop ecosystem with Apache Spark and Apache Flink to perform big data analytics by the end of this book.
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