The really cool thing about big data and multiple data sources for today’s advanced, web-based applications is that a variety of open source databases can provide specialized support for different application components. If you’re involved in application development, discover why achieving polyglot
Spark’s momentum is building, and it is rapidly emerging as the central technology in analytics ecosystems within organizations. See why Spark’s technical advancements around iterative processing combined with its easy overall environment and tool set for developers make it a true operating system
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
Cloud-based open source databases offer developers agility, but quite often no single database can meet all their needs. See how adopting a multi-database strategy empowers developers to build web and mobile applications quickly and economically without the cost and distractions that come with
In the big data scheme of things, you can talk about the "3 Vs," the "4 Vs," or as many "Vs" as your fevered imagination can spin out. The "3 Vs" point to the "big" dimension of the big data phenomenon, but when you shift the focus from "big" data to "all" data, the fourth V becomes a cleaner fit.