When businesses evaluate cloud infrastructure, databases or other core business systems, they nearly always consider scale as a decision factor. But scalability – the ability to grow as planning and business grows – is often overlooked for enterprise performance management.
So what do companies
Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them.
If your business hasn’t already embraced a multiple-cloud strategy, it’s likely that one is in your near future. Recent research shows that 85 percent of companies already operate in multicloud environments, and 98 percent of companies plan to be multicloud by 2021.
While cloud-based platforms
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
If you read a lot of development blogs nowadays, you’ll probably notice a common theme: developers don’t want to deal with databases. They want to focus on designing, building, testing, and deploying applications that deliver value to the business as quickly as possible.
The latest release of IBM DB2 for Linux, Unix and Windows (LUW) is generating lots of excitement. Following on a recent post highlighting the recent release, take a look at the robust set of advances, enhancements and new features available in DB2 LUW Version 11.1.1, particularly those that advance
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and saving time spent on implementation. Discover the four essential capabilities of a strong MDM solution and how they can help you
The Internet of Things holds great promise for the insurance industry, not least by allowing insurers to move beyond demographics to offer enhanced pricing levels. Moreover, IoT-enabled telematics can help insurers reduce loss ratios—and all this while offering value-added services to help
With respect to capitalizing on analysis of Internet of Things data for innovative industry solutions, the insurance industry is ripe with opportunity. And yet many C-suite insurance executives seem tentative when considering Internet of Things solutions. Now more than ever is an suitable time for
The insurance industry is poised to leverage business intelligence from Internet of Things data to offer policyholders value-added services and process optimization. But these opportunities require getting beyond mere point solutions and deploying a comprehensive, scalable and flexible Internet of
As one principle of the buffalo theory demonstrates, open source projects are applying a process of natural selection through the manner in which they tackle performance bottlenecks and other obstacles that can prevent further technological advancement. By continually identifying and addressing the
Building an Internet of Things ecosystem requires a new way of addressing architectural, operational and security considerations. Despite the challenges it brings, an advanced scalable security architecture featuring multiagent systems can help organizations of all sizes secure their systems from