EGUIDE:
Alteryx's senior vice-president for Asia-Pacific addresses some misconceptions about data analytics and what the company is doing to stake a bigger claim on the market.
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.
EGUIDE:
In this e-guide, Naeem Hashmi discusses strategies to overcome episodic culture, data puddles, and IT leadership challenges in order to exploit the value of big data in healthcare organizations.
EGUIDE:
Access the following expert e-guide to uncover how you can gain immediate improvements in business performance using an integrated approach to [analytics and operational BI.] Discover tips and tricks to use to garner strategic insights as well as drive operational decision making in or near real-time.
WHITE PAPER:
This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
EBOOK:
In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
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.
WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
EBOOK:
This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.
