Data, Engineering and Applications: Volume 1

Shukla, Rajesh Kumar (Edited by)/ Agrawal, Jitendra (Edited by)/ Sharma, Sanjeev (Edited by)/ Singh Tomer, Geetam (Edited by)

ISBN 10: 9811363463 / ISBN 13: 9789811363467

Verlag: Springer, 2019

Beschreibung

191 pages. 9.25x6.10x0.63 inches. In Stock. Bestandsnummer des Verkäufers zk9811363463

Bibliografische Details

Titel: Data, Engineering and Applications: Volume 1

Verlag: Springer

Erscheinungsdatum: 2019

Einband: Hardcover

Zustand: Brand New

Über diesen Titel

Inhaltsangabe:

<DIV>THIS BOOK PRESENTS A COMPILATION OF CURRENT TRENDS, TECHNOLOGIES, AND CHALLENGES IN CONNECTION WITH BIG DATA. MANY FIELDS OF SCIENCE AND ENGINEERING ARE DATA-DRIVEN, OR GENERATE HUGE AMOUNTS OF DATA THAT ARE RIPE FOR THE PICKING. THERE ARE NOW MORE SOURCES OF DATA THAN EVER BEFORE, AND MORE MEANS OF CAPTURING DATA. AT THE SAME TIME, THE SHEER VOLUME AND COMPLEXITY OF THE DATA HAVE SPARKED NEW DEVELOPMENTS, WHERE MANY BIG DATA PROBLEMS REQUIRE NEW SOLUTIONS.&NBSP;</DIV><DIV>GIVEN ITS SCOPE, THE BOOK OFFERS A VALUABLE REFERENCE GUIDE FOR ALL GRADUATE STUDENTS, RESEARCHERS, AND SCIENTISTS INTERESTED IN EXPLORING THE POTENTIAL OF BIG DATA APPLICATIONS.&NBSP;</DIV><DIV><BR></DIV>

Reseña del editor:

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.