Informatica Big Data Management

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Informatica Big Data Management

Author : Keshav Vadrevu
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781984140739
Total Pages : 522 pages
Book Rating : 4.1/5 (47 download)

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Book Synopsis Informatica Big Data Management by : Keshav Vadrevu

Download or read book Informatica Big Data Management written by Keshav Vadrevu and published by Createspace Independent Publishing Platform. This book was released on 2018-01-22 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches Informatica Big Data Management (BDM). Any existing Informatica Developers (PowerCenter or Informatica Platform) can leverage this book to learn BDM at a self-study peace. This book covers HDFS, Hive, Complex Files such as Avro, Parquet, JSON, & XML, BDM on Amazon AWS, BDM on Microsoft Azure ecosystems and much more. Spark execution mode including hierarchical data types and stateful variables are covered. This book covers DI on Big Data and does not cover data quality in BDM. Data Masking and Data Processor (B2B) on BDM are introduced and not covered in detail. NOTE: Purchasing this book does not entitle you for free software from Informatica. Readers should have a working Informatica BDM environment and a valid license key to execute the labs detailed within List of chapters and collateral downloads are available at Author's website: http: //keshavvadrevu.com/books/informatica-big-data-management

Data Management at Scale

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492054739
Total Pages : 404 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2020-07-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Big Data

Author : Nasir Raheem
Publisher : CRC Press
ISBN 13 : 0429592450
Total Pages : 176 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Big Data by : Nasir Raheem

Download or read book Big Data written by Nasir Raheem and published by CRC Press. This book was released on 2019-02-21 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the ‘What’, ‘How’, and ‘Why’ of Big Data. Features Identifies the primary drivers of Big Data Walks readers through the theory, methods and technology of Big Data Explains how to handle the 4 V’s of Big Data in order to extract value for better business decision making Shows how and why data connectors are critical and necessary for Agile text analytics Includes in-depth tutorials to perform necessary set-ups, installation, configuration and execution of important tasks Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases

Effective Big Data Management and Opportunities for Implementation

Author : Singh, Manoj Kumar
Publisher : IGI Global
ISBN 13 : 1522501835
Total Pages : 345 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Effective Big Data Management and Opportunities for Implementation by : Singh, Manoj Kumar

Download or read book Effective Big Data Management and Opportunities for Implementation written by Singh, Manoj Kumar and published by IGI Global. This book was released on 2016-06-20 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Foundation Book for Informatica Data Quality and Big Data Management

Author : Daniel Lewis
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781981934010
Total Pages : 104 pages
Book Rating : 4.9/5 (34 download)

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Book Synopsis Foundation Book for Informatica Data Quality and Big Data Management by : Daniel Lewis

Download or read book Foundation Book for Informatica Data Quality and Big Data Management written by Daniel Lewis and published by Createspace Independent Publishing Platform. This book was released on 2017-07-05 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers end to end life cycle of building enterprise-class software in Informatica platform. This book covers Data Integration transformations, application deployment, execution, monitoring, parameterization and much more Purchasing this book does not entitle you for free Informatica software. You must have a license of Informatica software to use it.This book acts as a foundation for anyone who wants to learn Informatica Data Quality and Informatica Book Data. This book covers Model Repository, Data Integration Service and the Informatica Developer tool that form the crux of both Data Quality and Big Data Management products.

Informatica Platform

Author : Keshav Vadrevu
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781547148455
Total Pages : 414 pages
Book Rating : 4.1/5 (484 download)

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Book Synopsis Informatica Platform by : Keshav Vadrevu

Download or read book Informatica Platform written by Keshav Vadrevu and published by Createspace Independent Publishing Platform. This book was released on 2017-10-06 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Informatica Platform for beginners is the first ever book on Informatica's platform. This book acts as a foundation for anyone who wants to learn Informatica Data Quality and Informatica Book Data. This book covers Model Repository, Data Integration Service and the Informatica Developer tool that form the crux of both Data Quality and Big Data Management products. This book covers end to end life cycle of building enterprise-class software in Informatica platform. This book covers Data Integration transformations, application deployment, execution, monitoring, parameterization and much more NOTE: Purchasing this book does not entitle you for free Informatica software. You must have a license of Informatica software to use it. This book does not distribute software. Additional details are available at: http: //www.keshavvadrevu.com/books/informatica-platform.php

Learning Informatica PowerCenter 10.x

Author : Rahul Malewar
Publisher : Packt Publishing Ltd
ISBN 13 : 1788474104
Total Pages : 420 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Learning Informatica PowerCenter 10.x by : Rahul Malewar

Download or read book Learning Informatica PowerCenter 10.x written by Rahul Malewar and published by Packt Publishing Ltd. This book was released on 2017-08-10 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutions About This Book Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach. An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer. A comprehensive guide to fetching/transforming and loading huge volumes of data in a very effective way, with reduced resource consumption Who This Book Is For If you wish to deploy Informatica in enterprise environments and build a career in data warehousing, then this book is for you. Whether you are a software developer/analytic professional and are new to Informatica or an experienced user, you will learn all the features of Informatica 10.x. A basic knowledge of programming and data warehouse concepts is essential. What You Will Learn Install or upgrade the components of the Informatica PowerCenter tool Work on various aspects of administrative skills and on the various developer Informatica PowerCenter screens such as Designer, Workflow Manager, Workflow Monitor, and Repository Manager. Get practical hands-on experience of various sections of Informatica PowerCenter, such as navigator, toolbar, workspace, control panel, and so on Leverage basic and advanced utilities, such as the debugger, target load plan, and incremental aggregation to process data Implement data warehousing concepts such as schemas and SCDs using Informatica Migrate various components, such as sources and targets, to another region using the Designer and Repository Manager screens Enhance code performance using tips such as pushdown optimization and partitioning In Detail Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. This book will be your quick guide to exploring Informatica PowerCenter's powerful features such as working on sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data at speed. First, you'll learn how to install and configure tools. You will learn to implement various data warehouse and ETL concepts, and use PowerCenter 10.x components to build mappings, tasks, workflows, and so on. You will come across features such as transformations, SCD, XML processing, partitioning, constraint-based loading, Incremental aggregation, and many more. Moreover, you'll also learn to deliver powerful visualizations for data profiling using the advanced monitoring dashboard functionality offered by the new version. Using data transformation technique, performance tuning, and the many new advanced features, this book will help you understand and process data for training or production purposes. The step-by-step approach and adoption of real-time scenarios will guide you through effectively accessing all core functionalities offered by Informatica PowerCenter version 10.x. Style and approach You'll get hand-on with sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data, and learn everything you need to become a proficient Informatica PowerCenter developer.

Big Data Management And Analytics

Author : Brij B Gupta
Publisher : World Scientific
ISBN 13 : 9811257132
Total Pages : 288 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Big Data Management And Analytics by : Brij B Gupta

Download or read book Big Data Management And Analytics written by Brij B Gupta and published by World Scientific. This book was released on 2023-12-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.

Big Data Integration

Author : Xin Luna Dong
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627052240
Total Pages : 200 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Big Data Integration by : Xin Luna Dong

Download or read book Big Data Integration written by Xin Luna Dong and published by Morgan & Claypool Publishers. This book was released on 2015-02-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of big data. BDI differs from traditional data integration along the dimensions of volume, velocity, variety, and veracity. First, not only can data sources contain a huge volume of data, but also the number of data sources is now in the millions. Second, because of the rate at which newly collected data are made available, many of the data sources are very dynamic, and the number of data sources is also rapidly exploding. Third, data sources are extremely heterogeneous in their structure and content, exhibiting considerable variety even for substantially similar entities. Fourth, the data sources are of widely differing qualities, with significant differences in the coverage, accuracy and timeliness of data provided. This book explores the progress that has been made by the data integration community on the topics of schema alignment, record linkage and data fusion in addressing these novel challenges faced by big data integration. Each of these topics is covered in a systematic way: first starting with a quick tour of the topic in the context of traditional data integration, followed by a detailed, example-driven exposition of recent innovative techniques that have been proposed to address the BDI challenges of volume, velocity, variety, and veracity. Finally, it presents merging topics and opportunities that are specific to BDI, identifying promising directions for the data integration community.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Big Data: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466698411
Total Pages : 2523 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Big Data: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-04-20 with total page 2523 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Data Virtualization for Business Intelligence Systems

Author : Rick van der Lans
Publisher : Elsevier
ISBN 13 : 0123944252
Total Pages : 297 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Data Virtualization for Business Intelligence Systems by : Rick van der Lans

Download or read book Data Virtualization for Business Intelligence Systems written by Rick van der Lans and published by Elsevier. This book was released on 2012-07-25 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation In this book, Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects.

Next-Generation Big Data

Author : Butch Quinto
Publisher : Apress
ISBN 13 : 1484231473
Total Pages : 572 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Next-Generation Big Data by : Butch Quinto

Download or read book Next-Generation Big Data written by Butch Quinto and published by Apress. This book was released on 2018-06-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Big Data Management and Processing

Author : Kuan-Ching Li
Publisher : CRC Press
ISBN 13 : 1498768083
Total Pages : 489 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Management and Processing by : Kuan-Ching Li

Download or read book Big Data Management and Processing written by Kuan-Ching Li and published by CRC Press. This book was released on 2017-05-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS

Author : Shoban Babu Sriramoju
Publisher : Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
ISBN 13 : 9386369575
Total Pages : 197 pages
Book Rating : 4.3/5 (863 download)

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Book Synopsis INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS by : Shoban Babu Sriramoju

Download or read book INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS written by Shoban Babu Sriramoju and published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd). This book was released on 2017-12-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is certainly one of the biggest buzz phrases in IT today. Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Unlike previous business analytics solutions, the real-time capability of new big data solutions can provide mission critical business intelligence that can change the shape and speed of enterprise decision making forever. Hence, the way in which IT infrastructure is connected and distributed warrants a fresh and critical analysis.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Big Data Analytics

Author : David Loshin
Publisher : Elsevier
ISBN 13 : 0124186645
Total Pages : 143 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Big Data Analytics by : David Loshin

Download or read book Big Data Analytics written by David Loshin and published by Elsevier. This book was released on 2013-08-23 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. - Guides the reader in assessing the opportunities and value proposition - Overview of big data hardware and software architectures - Presents a variety of technologies and how they fit into the big data ecosystem