Oracle Big Data Handbook

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Oracle Big Data Handbook

Author : Tom Plunkett,Brian Macdonald,Bruce Nelson,Mark Hornick,Helen Sun,Khader Mohiuddin,Debra Harding,Gokula Mishra,Robert Stackowiak,Keith Laker,David Segleau
Publisher : McGraw Hill Professional
Page : 464 pages
File Size : 42,6 Mb
Release : 2013-10-06
Category : Computers
ISBN : 9780071827270

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Oracle Big Data Handbook by Tom Plunkett,Brian Macdonald,Bruce Nelson,Mark Hornick,Helen Sun,Khader Mohiuddin,Debra Harding,Gokula Mishra,Robert Stackowiak,Keith Laker,David Segleau Pdf

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 for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide. Understand the value of a comprehensive big data strategy Maximize the distributed processing power of the Apache Hadoop platform Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance Integrate your existing data warehousing and analytics infrastructure into a big data architecture Share data among Hadoop and relational databases using Oracle Big Data Connectors Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture Deliver faster time to value using in-database analytics Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop Analyze disparate data with Oracle Endeca Information Discovery Plan and implement a big data governance strategy and develop an architecture and roadmap

Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop

Author : Mark Hornick,Tom Plunkett
Publisher : McGraw Hill Professional
Page : 83 pages
File Size : 45,8 Mb
Release : 2013-06-14
Category : Computers
ISBN : 9780071826273

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

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.

Handbook of Research on Big Data Storage and Visualization Techniques

Author : Segall, Richard S.,Cook, Jeffrey S.
Publisher : IGI Global
Page : 917 pages
File Size : 52,6 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522531432

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Handbook of Research on Big Data Storage and Visualization Techniques by Segall, Richard S.,Cook, Jeffrey S. Pdf

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

SQL on Big Data

Author : Sumit Pal
Publisher : Apress
Page : 165 pages
File Size : 42,8 Mb
Release : 2016-11-17
Category : Computers
ISBN : 9781484222478

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SQL on Big Data by Sumit Pal Pdf

Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements. This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space. SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems. You will learn the details of: Batch Architectures—Understand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queries Interactive Architectures—Understanding how SQL engines are architected to support low latency on large data sets Streaming Architectures—Understanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structures Operational Architectures—Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platforms Innovative Architectures—Explore the rapidly evolving newer SQL engines on Big Data with innovative ideas and concepts Who This Book Is For: Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals/div

Handbook of Big Data Privacy

Author : Kim-Kwang Raymond Choo,Ali Dehghantanha
Publisher : Springer Nature
Page : 397 pages
File Size : 40,5 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9783030385576

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Handbook of Big Data Privacy by Kim-Kwang Raymond Choo,Ali Dehghantanha Pdf

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Oracle Data Warehousing and Business Intelligence Solutions

Author : Robert Stackowiak,Joseph Rayman,Rick Greenwald
Publisher : John Wiley & Sons
Page : 410 pages
File Size : 49,8 Mb
Release : 2007-01-06
Category : Computers
ISBN : 9780470127186

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Oracle Data Warehousing and Business Intelligence Solutions by Robert Stackowiak,Joseph Rayman,Rick Greenwald Pdf

Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools. You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations. Avoid many common pitfalls while learning best practices for: Leveraging Oracle technologies to design, build, and manage data warehouses Integrating specific database and business intelligence solutions from other vendors Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more Handling typical data warehouse performance challenges Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

Handbook of Big Data

Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Publisher : CRC Press
Page : 480 pages
File Size : 44,9 Mb
Release : 2016-02-22
Category : Business & Economics
ISBN : 9781482249088

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Handbook of Big Data by Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan Pdf

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author : Raj, Pethuru
Publisher : IGI Global
Page : 570 pages
File Size : 51,8 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781466658653

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Handbook of Research on Cloud Infrastructures for Big Data Analytics by Raj, Pethuru Pdf

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Oracle XML Handbook

Author : Ben Chang,Mark Scardina,K. Karun,Stefan Kiritzov,Ian Macky,Anguel Novoselsky,Niranjan Ramakrishnan
Publisher : McGraw Hill Professional
Page : 383 pages
File Size : 51,7 Mb
Release : 2000-07-07
Category : Computers
ISBN : 9780071372879

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Oracle XML Handbook by Ben Chang,Mark Scardina,K. Karun,Stefan Kiritzov,Ian Macky,Anguel Novoselsky,Niranjan Ramakrishnan Pdf

From the only official publisher of Oracle Press books comes this unique resource--Oracle XML Handbook. This one-of-a-kind reference explains the XML standard, how to create XML documents, and how XML will transform legacy systems integration involving e-commerce initiatives. As more corporations migrate to an eBusiness model using Oracle8i--THE database for Internet computing--it's crucial for all of you Web developers to learn to use XML in the Oracle environment. This is your book.

Oracle Database 10g DBA Handbook

Author : Kevin Loney,Bob Bryla
Publisher : McGraw Hill Professional
Page : 736 pages
File Size : 43,8 Mb
Release : 2005-04-14
Category : Computers
ISBN : 0071770437

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Oracle Database 10g DBA Handbook by Kevin Loney,Bob Bryla Pdf

Everything a DBA needs to know in one volume--this is the must-have reference for anyone working with the Oracle database, and it’s been fully revised and updated for Oracle Database 10g. Co-author Kevin Loney is the all-time, best-selling Oracle Press author.

Oracle DBA Guide to Data Warehousing and Star Schemas

Author : Bert Scalzo
Publisher : Prentice Hall Professional
Page : 236 pages
File Size : 46,5 Mb
Release : 2003
Category : Computers
ISBN : 0130325848

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Oracle DBA Guide to Data Warehousing and Star Schemas by Bert Scalzo Pdf

The ultimate reference guide to successful implementation of star schemas within Oracle data warehouses, this edition also covers Oracle 8i and Oracle 9i with real-world examples, sample code and benchmarks to illustrate key concepts.

Handbook of Research on Big Data Clustering and Machine Learning

Author : Garcia Marquez, Fausto Pedro
Publisher : IGI Global
Page : 478 pages
File Size : 54,7 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801078

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Handbook of Research on Big Data Clustering and Machine Learning by Garcia Marquez, Fausto Pedro Pdf

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Big Data and The Internet of Things

Author : Robert Stackowiak,Art Licht,Venu Mantha,Louis Nagode
Publisher : Apress
Page : 207 pages
File Size : 52,9 Mb
Release : 2015-05-07
Category : Computers
ISBN : 9781484209868

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Big Data and The Internet of Things by Robert Stackowiak,Art Licht,Venu Mantha,Louis Nagode Pdf

Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global Internet. No business can afford to be caught out by missing the value to be mined from the increasingly large amounts of available data generated by everyday devices. The text provides background as to how analytical solutions and enterprise architecture methodologies and concepts have evolved (including the roles of data warehouses, business intelligence tools, predictive analytics, data discovery, Big Data, and the impact of the Internet of Things). Then you’re taken through a series of steps by which to define a future state architecture and create a plan for how to reach that future state. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things helps you gain an understanding of the following: Implications of Big Data from a variety of new data sources (including data from sensors that are part of the Internet of Things) upon an information architecture How establishing a vision for data usage by defining a roadmap that aligns IT with line-of-business needs is a key early step The importance and details of taking a step-by-step approach when dealing with shifting business challenges and changing technology capabilities How to mitigate risk when evaluating existing infrastructure and designing and deploying new infrastructure Enterprise Information Architecture for a New Age: Big Data and The Internet of Things combines practical advice with technical considerations. Author Robert Stackowiak and his team are recognized worldwide for their expertise in large data solutions, including analytics. Don’t miss your chance to read this book and gain the benefit of their advice as you look forward in thinking through your own choices and designing your own architecture to accommodate the burgeoning explosion in data that can be analyzed and converted into valuable information to drive your business forward toward success.

Big Data Architect’s Handbook

Author : Syed Muhammad Fahad Akhtar
Publisher : Packt Publishing Ltd
Page : 476 pages
File Size : 45,6 Mb
Release : 2018-06-21
Category : Computers
ISBN : 9781788836388

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Big Data Architect’s Handbook by Syed Muhammad Fahad Akhtar Pdf

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architects Who this book is for Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.

Oracle Exalogic Elastic Cloud Handbook

Author : Tom Plunkett,TJ Palazzolo,Tejas Joshi
Publisher : McGraw Hill Professional
Page : 400 pages
File Size : 51,9 Mb
Release : 2012-09-05
Category : Computers
ISBN : 9780071778299

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Oracle Exalogic Elastic Cloud Handbook by Tom Plunkett,TJ Palazzolo,Tejas Joshi Pdf

Achieve Extreme Application Performance for a Private Cloud with Oracle Exalogic Elastic Cloud Transition to a private cloud computing infrastructure and achieve unmatched levels of performance with help from this Oracle Press guide. Oracle Exalogic Elastic Cloud Handbook shows you how to plan, implement, and maintain a private cloud. Find out how to set up components, deploy Java applications, maximize redundancy and throughput, and migrate legacy workloads. Examples, screenshots, and diagrams are included throughout this comprehensive resource. Configure Oracle Exalogic Elastic Cloud nodes and racks Optimize Java EE application performance on Oracle WebLogic Server Provision and administer a highly scalable private cloud Build, debug, and manage custom Java applications Secure, monitor, and tune using Oracle Enterprise Manager Leverage capabilities from Oracle Fusion Middleware Consolidate Oracle and third-party application workloads