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

Big Data and The Internet of Things

Enterprise Information Architecture for A New Age
Buch | Softcover
220 Seiten
2015 | 1st ed.
Apress (Verlag)
978-1-4842-0987-5 (ISBN)
58,84 inkl. MwSt
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.

Robert Stackowiak is Vice President of Information Architecture and Big Data at Oracle in North America. His team of architects and experts focuses on Big Data (including Hadoop and NoSQL databases), predictive analytics, data warehousing, business intelligence, and information discovery. The team engages with companies that are implementing these technologies and exploring new solutions such as those enabled by the Internet of Things. Bob has spoken at conferences around the world and co-authored many books on data management and business intelligence including five editions of Oracle Essentials (O'Reilly Media), Oracle Big Data Handbook (Oracle Press), Achieving Extreme Performance with Oracle Exadata (Oracle Press), and Oracle Data Warehousing and Business Intelligence Solutions (Wiley). Follow him on Twitter @rstackow.

Introduction Chapter 1. Big Data Solutions and Internet of Things Chapter 2. Evaluating the Art of the Possible Chapter 3. Business Drivers behind Big Data and Internet of Things Chapter 4. Business Information Mapping Chapter 5. Skills for Big Data and Internet of Things Chapter 6. Architecture for Big Data and Internet of Things Chapter 7. Planning Big Data and Internet of Things Projects Chapter 8. Big Data and Internet of Things Implementation Chapter 9. Appendix A Chapter 10. Appendix B

Zusatzinfo 88 Illustrations, black and white; XVIII, 220 p. 88 illus.
Verlagsort Berkley
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-4842-0987-7 / 1484209877
ISBN-13 978-1-4842-0987-5 / 9781484209875
Zustand Neuware
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