Leaders and Innovators

Tho H. Nguyen

• 25 oktober 2016
• 9781119232575

Samenvatting:

For businesses, data is a strategic asset and big data has gone from a revolutionary competitive advantage to a burdensome, uncontrollable necessity. Now, the organizations outpacing their competitors are the ones seamlessly integrating analytics into their workflow and decision making with state-of-the-art technology to deliver analytical-driven information. Leaders and Innovators takes you inside some of the best data-driven organizations today to reveal how they gain strategic insight into profitability and growth.

Every approach provided in this book has been developed, tested, and proven successful at an elite class of the biggest, most complex companies in the world. The author shares his firsthand look at how it happened and details tangible and intangible ways you can build any organization into a data-driven powerhouse. This everyday tool for the real world is conveniently organized to read cover to cover and serve as quick reference for specific topics because there is no single fix to solve complex data management and analytics challenges. Chances are, your organization needs several of these methodologies to enhance database performance, analytic capability, and data quality and integration, and this complete guide gives you the background and practical technologies you need to customize your solution. Keep this guide with you for its illustrative best practices for implementing specific architecture using a unique mix of traditional methods and new approaches that save time and money as well as increase performance, economics, and governance. This expert resource enables you to:

• Optimize analysis by evaluating data where it resides with in-database processing
• Deliver accelerated responses to complex analytical problems with cutting-edge in-memory analytics
• Leverage Hadoop, an open-source solution to complement your data management architecture and extend the ability to store new data sources for analytics
• Develop a collaborative data architecture to integrate data management and analytic processes in a cohesive environment
• Explore the future trends of data management and analytics in an evolving landscape