ID: 163212
Description
Big data governance is a comprehensive compendium of data governance frameworks and step-by-step processes applicable to the challenges of big data. It contains over 50 case study snippets illustrating the opportunities and experiences of real organizations in the field. It spans the industry sectors and functions of healthcare, utility, retail, telecommunications, insurance, customer service, and it. At over 300 pages in length, the book offers the reader the opportunity to dive deeply into the topic at almost any level of detail. Yet its accessibility is perfect for managers who wish to quickly come up to speed with the evolving and rigorous disciplines of big data governance. By far, the most informative chapters are in part two, "big data governance disciplines," which address everything from big data governance organization strategies, metadata, privacy, data quality, and business process integration, to the managing of the lifecycle of big data. The writing and the comprehensive quality of the book reflect the richness of soares' own experience as well as that of the numerous other contributing authors. The book is vendor- and platform-agnostic with a chapter dedicated to "the big data platforms" that talks authoritatively about ibm, oracle, sap, microsoft, hp, informatica, sas, teradata, emc, amazon, google, pentaho, and talend. There is an ample glossary of terms, and the book is well indexed. Whether you're a novice to the subject of big data, an in-the-field expert, or a manager trying to judge the applicability of big data in your organization, you will find something of value in big data governance. Soares has done an excellent job of assembling an important information tool for his readers.