EGUIDE:
Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.
EZINE:
In this week's Computer Weekly, we find out how fast-food chain KFC turned to digital to survive the pandemic. Our latest buyer's guide looks at technologies to improve office productivity for home workers. And we assess the growing problem of electronic waste and how to tackle it. Read the issue now.
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.
PRODUCT LITERATURE:
In this resource, discover a converged infrastructure specifically designed for demanding, high-performance databases that provides millisecond response times, continuous availability, and high flexibility.
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.
WHITE PAPER:
Access the following white paper to uncover how companies are leveraging new analytics technology and practices to stay ahead of the big data curve. Discover how you can gain the actionable intelligence you need and what you can do to gain a sharper competitive edge.
EGUIDE:
Consult this expert e-guide to gain a firm understanding of the requirements needed to implement a successful real-time analytics plan while avoiding many of the pitfalls.
WHITE PAPER:
This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis.
