Big Data Management

Download Big Data Management PDF Online Free

Author :
Release : 2020-11-09
Genre : Business & Economics
Kind :
Book Rating : 321/5 ( reviews)

Big Data Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Management write by Peter Ghavami. This book was released on 2020-11-09. Big Data Management available in PDF, EPUB and Kindle. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Big Data Governance

Download Big Data Governance PDF Online Free

Author :
Release : 2012
Genre : Computers
Kind :
Book Rating : 771/5 ( reviews)

Big Data Governance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Governance write by Sunil Soares. This book was released on 2012. Big Data Governance available in PDF, EPUB and Kindle. Written by a leading expert in the field, this guide focuses on the convergence of two major trends in information management--big data and information governance--by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes, procedures, and policies. It teaches readers to understand how big data fits within an overall information governance program; quantify the business value of big data; apply information governance concepts such as stewardship, metadata, and organization structures to big data; appreciate the wide-ranging business benefits for various industries and job functions; sell the value of big data governance to businesses; and establish step-by-step processes to implement big data governance.

Big Data Governance and Perspectives in Knowledge Management

Download Big Data Governance and Perspectives in Knowledge Management PDF Online Free

Author :
Release : 2018-11-16
Genre : Computers
Kind :
Book Rating : 780/5 ( reviews)

Big Data Governance and Perspectives in Knowledge Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Governance and Perspectives in Knowledge Management write by Strydom, Sheryl Kruger. This book was released on 2018-11-16. Big Data Governance and Perspectives in Knowledge Management available in PDF, EPUB and Kindle. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Information Governance Principles and Practices for a Big Data Landscape

Download Information Governance Principles and Practices for a Big Data Landscape PDF Online Free

Author :
Release : 2014-03-31
Genre : Computers
Kind :
Book Rating : 592/5 ( reviews)

Information Governance Principles and Practices for a Big Data Landscape - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Governance Principles and Practices for a Big Data Landscape write by Chuck Ballard. This book was released on 2014-03-31. Information Governance Principles and Practices for a Big Data Landscape available in PDF, EPUB and Kindle. This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape.

Big Data and Analytics

Download Big Data and Analytics PDF Online Free

Author :
Release : 2015-01-31
Genre : Business & Economics
Kind :
Book Rating : 651/5 ( reviews)

Big Data and Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data and Analytics write by Vincenzo Morabito. This book was released on 2015-01-31. Big Data and Analytics available in PDF, EPUB and Kindle. This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.