EZINE:
In this week's Computer Weekly, we talk to the RSPCA about how its cloud-first strategy helped to save animals throughout the pandemic. Data warehouses have been part of the IT landscape for 30 years – but are they now old technology, and what's next? And we assess how Brexit has affected risk and resilience in the datacentre. Read the issue now.
EBOOK:
There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.
EBOOK:
Hadoop and NoSQL databases have bumped data warehouse systems out of the IT spotlight. In this e-handbook, expert contributors Wayne Eckerson and Rick van der Lans argue that data warehouses are still central to BI and analytics architectures -- and still evolving.
EGUIDE:
Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
EGUIDE:
In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.
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:
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.