Enterprise Big Data Engineering Analytics And Management

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Enterprise Big Data Engineering, Analytics, and Management

Atzmueller, Martin
Enterprise Big Data Engineering Analytics and Management Book PDF

Author : Atzmueller, Martin
Publisher : IGI Global
Page : 272 pages
File Size : 55,6 Mb
Release : 2016-06-01
Category : Computers
ISBN : 9781522502944

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Enterprise Big Data Engineering, Analytics, and Management by Atzmueller, Martin Pdf

The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

Analytics Across the Enterprise

Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton
Analytics Across the Enterprise Book PDF

Author : Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton
Publisher : IBM Press
Page : 223 pages
File Size : 53,5 Mb
Release : 2014-05-15
Category : Business & Economics
ISBN : 9780133835885

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Analytics Across the Enterprise by Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton Pdf

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics

Enterprise Analytics

Thomas H. Davenport
Enterprise Analytics Book PDF

Author : Thomas H. Davenport
Publisher : FT Press
Page : 287 pages
File Size : 46,5 Mb
Release : 2012-09-13
Category : Business & Economics
ISBN : 9780133039467

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Enterprise Analytics by Thomas H. Davenport Pdf

Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Paul Zikopoulos,Chris Eaton
Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data Book PDF

Author : Paul Zikopoulos,Chris Eaton
Publisher : McGraw Hill Professional
Page : 176 pages
File Size : 43,6 Mb
Release : 2011-10-22
Category : Computers
ISBN : 9780071790543

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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos,Chris Eaton Pdf

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Big Data Analytics

David Loshin
Big Data Analytics Book PDF

Author : David Loshin
Publisher : Elsevier
Page : 143 pages
File Size : 45,7 Mb
Release : 2013-08-23
Category : Computers
ISBN : 9780124186644

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Big Data Analytics by David Loshin Pdf

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

Effective Big Data Management and Opportunities for Implementation

Singh, Manoj Kumar,G., Dileep Kumar
Effective Big Data Management and Opportunities for Implementation Book PDF

Author : Singh, Manoj Kumar,G., Dileep Kumar
Publisher : IGI Global
Page : 324 pages
File Size : 40,6 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522501831

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Effective Big Data Management and Opportunities for Implementation by Singh, Manoj Kumar,G., Dileep Kumar Pdf

“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.

Applied Big Data Analytics in Operations Management

Kumar, Manish
Applied Big Data Analytics in Operations Management Book PDF

Author : Kumar, Manish
Publisher : IGI Global
Page : 251 pages
File Size : 43,7 Mb
Release : 2016-09-30
Category : Business & Economics
ISBN : 9781522508878

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Applied Big Data Analytics in Operations Management by Kumar, Manish Pdf

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

Big Data Imperatives

Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Big Data Imperatives Book PDF

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 48,9 Mb
Release : 2013-08-23
Category : Computers
ISBN : 9781430248736

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

The Enterprise Big Data Framework

Jan-Willem Middelburg
The Enterprise Big Data Framework Book PDF

Author : Jan-Willem Middelburg
Publisher : Kogan Page Publishers
Page : 497 pages
File Size : 42,6 Mb
Release : 2023-11-03
Category : Business & Economics
ISBN : 9781398601727

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The Enterprise Big Data Framework by Jan-Willem Middelburg Pdf

Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy. This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques. With a focus on business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.

Big Data and Business Analytics

Jay Liebowitz
Big Data and Business Analytics Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 304 pages
File Size : 47,5 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781466565791

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Big Data and Business Analytics by Jay Liebowitz Pdf

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Research Anthology on Big Data Analytics, Architectures, and Applications

Management Association, Information Resources
Research Anthology on Big Data Analytics Architectures and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 51,7 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639

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Research Anthology on Big Data Analytics, Architectures, and Applications by Management Association, Information Resources Pdf

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 Imperatives

Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Big Data Imperatives Book PDF

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 43,8 Mb
Release : 2013-06-24
Category : Computers
ISBN : 9781430248729

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Big Data and The Internet of Things

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

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 Application Architecture Q&A

Nitin Sawant,Himanshu Shah
Big Data Application Architecture Q A Book PDF

Author : Nitin Sawant,Himanshu Shah
Publisher : Apress
Page : 157 pages
File Size : 43,7 Mb
Release : 2013-12-17
Category : Computers
ISBN : 9781430262923

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Big Data Application Architecture Q&A by Nitin Sawant,Himanshu Shah Pdf

"The expert's voice in big data"--Cover.

INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS

Shoban Babu Sriramoju
INTRODUCTION TO BIG DATA INFRASTRUCTURE AND NETWORKING CONSIDERATIONS Book PDF

Author : Shoban Babu Sriramoju
Publisher : Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
Page : 197 pages
File Size : 48,8 Mb
Release : 2017-12-01
Category : Electronic
ISBN : 9789386369574

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

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.