Dave Wells, senior analyst at Eckerson Group, details the role of the data catalog in modern data architecture.

Today, most business value is derived from the analysis of data and products powered by data, rather than the software itself. The data generated by several application silos are combined and greatly…

Learn about the Backend for Frontend (BFF) pattern, how it works, its benefits, and how it can improve your web application's performance.

In an era where data is king, and big data analytics and related tools are the king of kings, enterprise big data analytics is no longer a differentiator, but a password at the door for some industries. Enterprises in industries like banking, energy, transportation and others rely on big data to not just keep a

To streamline the data preparation process, we’ve begun to create data warehouses as an intermediary step.

Data has been a valuable commodity for more than a decade now. It not only has changed the way our civilization is progressing but, has also provided us with a new perspective with which we look at…

Here is the typical œBig data architecture, that covers most components involved in the data pipeline. More or less, we have the same architecture in production in number of places[...]

Data architecture is a challenging and sometimes confusing field. It can be confusing because data architecture means different things to different people and there are many kinds and levels of data architecture - enterprise architecture, technical architecture, etc. In this article, the focus is data management architecture with attention to the processes, data stores, data flows, etc. needed to collect, organize, harmonize, and utilize data to business advantage.

Our big data consultants have come up with an easy guide to real-time big data analytics. We explain the term and describe a typical architecture, as well as share our thoughts about whether real-time analytics can be a competitive advantage.