EBOOK:
This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.
WHITE PAPER:
The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
EBOOK:
Before you can hope to reap the benefits of big data initiatives, it's important to strategize and plan -- the earlier, the better. In this exclusive guide, learn more about analytic deployments that can help you manage their big data quickly and easily to gain actionable insights.
WHITE PAPER:
Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
EZINE:
Read this special edition of Business Information for advice from data management consultant and author Craig S. Mullins on today's database market. Learn about new data types which call for new approaches, like storing data in memory instead on of disk, or turning to NoSQL technologies.
WHITE PAPER:
If you're looking to invest in a business analytics platform, access this comprehensive white paper from Bloor Research comparing the performance of four top analytics tools (combined with underlying database management systems).
