Thought leader Esteban Kolsky takes on the big question: What will data platforms look like now that big data's hype is over and big data "solutions" are at hand?

With traditional data warehouses in the past, Bierweiler explains, data was used in a very transactional way. But now it’s at the center of every decision, he says. To start with, the structure of big ...

As the dependence on cloud computing, IoT ecosystems, and big data analytics deepens, data center architecture demands more attention. As data consumption skyrockets, data center consumption rates ...

Big Data is the new oil. … The companies, governments and organizations that are able to mine this resource will have an enormous advantage over those that don't. With speed, agility and ...

Big data is clearly an evolution rather than something entirely new and different. Suppliers come forward with new products or services and declare that they are both unique and new.

Since its inception in 2010, Hive has empowered organizations around the world to perform analytics and scale their data processing capabilities. It has become a critical component in the architecture ...

Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time. Learning ...

To understand where the storage industry is headed, and why the evolution of data storage matters, it’s important to look at how this space has changed.

With traditional data warehouses in the past, Bierweiler explains, data was used in a very transactional way. But now it’s at the center of every decision, he says. To start with, the structure of big ...