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eBook Oracle Big Data Handbook (Oracle Press) epub

by Mark Hornick,Tom Plunkett

eBook Oracle Big Data Handbook (Oracle Press) epub
  • ISBN: 0071827269
  • Author: Mark Hornick,Tom Plunkett
  • Genre: Techno
  • Subcategory: Networking & Cloud Computing
  • Language: English
  • Publisher: McGraw-Hill Education; 1 edition (September 25, 2013)
  • Pages: 464 pages
  • ePUB size: 1185 kb
  • FB2 size 1459 kb
  • Formats mobi lrf txt rtf


Tom Plunkett is a Senior Sales Consultant with Oracle. Oracle Big Data Handbook is a very thorough technical book about how to plan and implement a Big Data Infrastructure.

Tom Plunkett is a Senior Sales Consultant with Oracle.

Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed. - Doug Cutting, co-creator of Apache Hadoop.

Электронная книга "Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop", Mark Hornick, Tom Plunkett

Электронная книга "Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop", Mark Hornick, Tom Plunkett. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop" для чтения в офлайн-режиме.

Start by marking Oracle Big Data Handbook as Want to Read .

Start by marking Oracle Big Data Handbook as Want to Read: Want to Read savin. ant to Read. Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data.

Transform Big Data into Insight "In this book, some of Oracle's best engineers and architects explain how you can make use of big data.

Find nearly any book by Tom Plunkett. Get the best deal by comparing prices from over 100,000 booksellers. Oracle Big Data Handbook (Oracle Press). ISBN 9780071827263 (978-0-07-182726-3) Softcover, McGraw-Hill Education, 2013. Find signed collectible books: 'Oracle Big Data Handbook (Oracle Press)'.

Items related to Oracle Big Data Handbook (Oracle Press). Tom Plunkett; Brian Macdonald; Bruce Nelson; Mark Hornick; Helen Sun; Khader Mohiuddin; Debra Harding; Gokula Mishra; Robert Stackowiak; Keith Laker; David Segleau Oracle Big Data Handbook (Oracle Press). ISBN 13: 9780071827263. Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data.

Cowritten by members of Oracle’s big data team, Oracle Big Data Handbook provides complete coverage of Oracle’s comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle’s open source R offerings.

ISBN13: 9780071827263.

Podcast: Oracle Author Podcasts

Podcast: Oracle Author Podcasts. Episode: A conversation with Mark Hornick, Tom Plunkett, and Vaishnavi Sashikanth about, "Using R to Unlock the Value of Big Data" from Oracle Press. A conversation with Mark Hornick, Tom Plunkett, and Vaishnavi Sashikanth about, "Using R to Unlock the Value of Big Data" from Oracle Press.

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.

Transform Big Data into Insight

"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop

Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices formigrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included inthis Oracle Press guide.

Understand the value of a comprehensive big data strategyMaximize the distributed processing power of the Apache Hadoop platformDiscover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL DatabaseConfigure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data ApplianceIntegrate your existing data warehousing and analytics infrastructure into a big data architectureShare data among Hadoop and relational databases using Oracle Big Data ConnectorsUnderstand how Oracle NoSQL Database integrates into the Oracle Big Data architectureDeliver faster time to value using in-database analyticsAnalyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for HadoopAnalyze disparate data with Oracle Endeca Information DiscoveryPlan and implement a big data governance strategy and develop an architecture and roadmap
Comments: (7)
INwhite
The Oracle Big Data Handbook should be your "go-to" and "one-stop" resource for Oracle Big Data concepts and technologies. In my role as a Sales Consultant, I am asked to present and discuss Big Data with clients on a regular basis. I found this book to be an easy to read comprehensive overview with excellent explanations. In fact, I have already sent copies to several clients because I feel it's extremely well-written. I highly recommend this book to anyone who needs to become fluent and comfortable with the topic of Big Data. Well done, Oracle team.
Gavinranara
Covers a broad range of Big Data topics and explains concepts from a industry perspective (i.e. only some of the books is Oracle product based)
Sardleem
Read it. Learn it. Use it.
Arashitilar
The book is good and explanation of concepts is very appreciated. A nice book to start with.
Jek
Although lots of government, health and educational institutions have been experimenting with Big Data, there is no lower-cost, or simpler solution to start with than the Oracle Big Data Appliance (BDA). Tom Plunkett and his co-authors step logically through the features of the BDA, and why those make a difference when using technologies like Hadoop, NoSQL and the host of other Open Source products that are part of the Cloudera ecosystem. Whether a reader is just starting to learn about Big Data, or is ready to make the step to practical solutions as part of an Enterprise Data Management system, this book will help them get moving quickly.
Spilberg
Big data management is a hot topic today, because big data delivers tremendous new value to the enterprise, across a wide variety of industries and verticals. Though the value of big data is now well accepted and understood, big data processing is still in its infancy. There is still a lot to learn; that's why I believe this handbook is so timely and useful. A big data practitioner will benefit from the complete and detailed descriptions and excellent explanations of various components and the tradeoffs of cost, design complexity, programming paradigm, and how it all fits together.

I have been associated with and worked at Oracle for a long time. Besides the excellent technology that Oracle produces, I continue to be amazed and impressed by Oracle's ability to repeatedly adapt to new trends and embrace new concepts and technologies to deliver compelling data management solutions to the market. This is perhaps the most important reason for Oracle's enduring success in the market. Perhaps, this is also the most important reason why anyone interested in big data should read this book. If you are a user of Oracle technologies, you'll learn about how to extend your Oracle investment to encompass big data processing. If you're not an Oracle user, you might discover important technologies and approaches to enhance your big data projects. In either case, you will benefit!

This book is about Oracle's big data offerings. As usual, Oracle has delivered a well thought-out, well integrated and comprehensive solution to the market and the authors have done a stellar job of describing Oracle's big data solutions. Processing big data involves several complementary technologies, each requiring different skills and expertise. This is partly reflected in the long list of authors for this book - no single person could have done justice to the topic of big data. EAch author has done a masterful job of describing the product or topic in his area of expertise and describing how these components relate to each other.

The book is an excellent resource for a very relevant, present day topic. Though big data encompasses a lot of complementary technologies, the authors have done a great job of organizind the material into the introductory section, followed by chapters that discuss the important technology components individually and in-depth, followed by a multi-chapter discussion of how to use these technologies to analyze data in various ways. The last section of the book covers important issues like privacy, security and big data governance. The book is organized so that it can be read from the beginning to end to get a complete and comprehensive understanding of Oracle's big data offerings; on the other hand, each chapter is relatively self-contained and can be read "standalone" if the reader chooses.

I liked the big data appliance chapter because it highlights the benefits of pre-built, tested, optimized and production-ready engineered systems for big data processing. In my opinion, big data processing is a complex topic along multiple dimensions including data processing expertise, server configuration and management, optimizing data flows and computation in a distributed environment. The big data appliance minimizes the headaches associated with building and maintaining servers, which can be a great help in getting a big data project up and running quickly and efficiently.

What sets big data processing apart from other kinds of processing is the variety, volume and velocity of data as well as the plethora of analytic techniques needed in order to derive valuable information. The book describes the various data management platforms available, as well as the different kinds of analyses that make up big data processing, including discovery analytics, text and data analytics, spatial analytics and graph analytics.

The book also outlines how one might go about using big data processing in an enterprise, starting with collecting data from diverse sources, doing "experiments" to understand how that data might be used, and then using those results to drive business decisions. Of course, this is an iterative process, where each iteration results in new understanding of the data.

Written by a team of experts, this book provides a comprehensive and complete guide to the big data practitioner. Definitely a must read for anyone serious about big data.
Winotterin
Big Data is big news these days. Oracle Big Data Handbook is a very thorough technical book about how to plan and implement a Big Data Infrastructure. The Oracle Big Data Handbook provides in depth information regarding why Oracle chose to provide the Oracle Big Data Appliance, the thought and design that went into the engineered system of software and hardware working together to optimize performance. The book covers the Big Data Offerings that Oracle provides and how it integrates with the Oracle stack and Oracle Engineered Systems including Oracle Exadata, Oracle Exalytics, Endeca Information Discovery, and Oracle Business Intelligence to provide a big data solution.

The Oracle Big Data Appliance takes the pain out of designing, acquiring, and implementing a do-it-yourself Big Data Cluster. The book includes detailed information about the Oracle Big Data Appliance including the hardware and software that comes with it; there is information on the Infinband for high-performance networking, and how it is all set up.

The handbook covers the offerings from Oracle for anything from if a company wants to start off small with starter rack 6-node cluster, to a full rack cluster, or multi-rack clusters. There is in depth information into the hardware provided for each cluster and the layout of the racks. The installation process is explained thoroughly.

Information on the software and monitoring utilities that the Oracle Big Data Appliance has are included in the book. There is information on Cloudera's Distribution for Hadoop (CDH) is the market-leading Hadoop distribution including HDFS, Cloudera Manager, Hive, Hue, Oozie, Zookeeper, MapReduce, and Pig. The software layout for the clusters is detailed as well.

In addition, there are chapters included that detail each of the Big Data Connectors that Oracle provides, Oracle NoSQL Database, Oracle Analytics, Oracle Data Mining, In-Database Analytics, R, Endeca, and so much more. Industry specific use cases are provided to illustrate how Big Data could be used to enhance and grow these industries.

This handbook is a very complete guide which was written by the top Big Data Experts at Oracle. This book is a must have for anyone that is interested in the Oracle Big Data Appliance and the thorough information that this handbook provides!
Just got my hands on this book last week. With all the buzz around Big Data Technologies, I would highly recommend this book for all levels (Experts to Beginner).

NoSQL has been explained in good detail and the joint value prop with Hadoop has been well established in this book.

I highly recommend this book.
R
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