Here's what business leaders can do to reduce the costs of their AI projects and see positive business results sooner.
Placing Governed Data and Analytics Closer to Their Sources, While Leveraging Amazon Web Services Compute Elasticity to Generate Business Insights at Extreme High Speeds AWS re:invent, Las Vegas, NV, November 30th, 2016 iguazio today announced that it is collaborating with Equinix (Nasdaq: EQIX) to power the Equinix Data Hub, enabling a critical advantage for the...
Last month Amazon and VMware announced a partnership which will enable VMware software to run on a dedicated space within Amazon cloud. This unnatural act is mainly due to Azure which is getting stronger, it is the only cloud provider with a real hybrid cloud story. The same exact software stack which was initially limited...
iguazio announced its revolutionary Enterprise Data Cloud platform on September 27th, designed with a modern approach from the ground-up. iguazio's platform serves millions of requests per second, scaling to petabytes and managed as a PaaS with extreme simplicity. We built an end to end IoT application for monitoring and controlling smart connected cars to demonstrate...
Legacy data management didn’t offer the scalability one finds in Big Data or NoSQL, but life was simple. You’d buy storage from your vendor of choice, add a database on top and use it for all your workloads. In the new world, however, there are data services for every application workload. Targeted services may sound...
The software world is rapidly transitioning to agile development using micro-services and cloud-native architectures. And there’s no turning back for companies that want to be competitive in the new digital transformation. Evolution in the application space has a significant impact on the way we build and manage infrastructure. Cloud-native applications in particular require shared cloud-native...
During the last decades, The IT industry have used and cultivated the same storage and data management stack. The problem is, everything around those stacks changed from the ground up — including new storage media, distributed computing, NoSQL, and the cloud. Combined, those changes make today’s stack exceedingly inefficient — slowing application performance, creating huge...