Innovative insights, improved understanding of problems, and opportunities to predict and shape the future are the main facets of the enormous potential in Big Data. In this context, Big Data analytics integrate structured and unstructured data with real time feeds and queries to enable a new path to innovation, to investigation with potentially deeper insights. EMC Educational Services proposes this book to individuals and organizations with a view to helping them benefit from this potential. The book provides a practitioner’s approach to some of the key techniques and tools used in Big Data analytics that could assist multiple stakeholders – business and data analysts, database professionals and managers of business intelligence, Big Data groups looking to enrich their analytical skills – to become active contributors to Big Data analytics projects. It is also useful for university graduates interested in data science as a career field. This book prepares for the certification of Data Science Associate, EMC Certified Professional (EMCDSA). The book is structured in twelve chapters. Each chapter starts with a list of the addressed key concepts, its objectives and their logical connection with previous chapters’ contribution. At the end of each chapter a summary of its main conclusions and references to subsequent chapters that are based on its content are provided, as well as a list of exercises and the bibliography.
Gabriel NEAGU, "BOOK REVIEW - Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data", Studies in Informatics and Control, ISSN 1220-1766, vol. 25(1), pp. 131-135, 2016. https://doi.org/10.24846/v25i1y201614
All articles published by Studies in Informatics and Control (SIC) are published in accordance with the terms and conditions of the Creative Commons Attribution License (CC BY-NC-SA 4.0).