“Digital Transformation” is a term that has different meanings depending on the context and the audience. Do a quick search on Google , and you will get a wide range of definitions that include artificial intelligence, virtual
In the first post in this series, I discussed the emergence of NoSQL to address the need to make databases compatible with cloud needs. And in my last blog post, I talked about the dichotomy between smart databases and smart applications. I asked whether we can have smart databases that can scale on the cloud. So now let’s talk about why I think the answer is yes.
Recently, I shared the news that we released NuoDB 3.0! One of our highlights was our expanded technology ecosystem, with a slew of new partners, certifications, and integrations - including with Red Hat.
As we move toward a new industry view of data management, we are also moving towards a world in which smarter databases will enable simpler applications. In this first installment of a 3-part blog series, let’s take a look at where we’ve been and where we’re going.
In my last post, I talked about the idea of software-defined databases – what we're beginning to see called Elastic SQL databases. In this post, we'll talk about the ramifications such an innovation would have.
Cloud data centers are not static environments, pre-provisioned to run a known, finite set of workloads to support predictable demand. They are highly dynamic environments in which everything is changing all the time. At scale.