Email: ks@adrm.com

Author's Posts:

By now, you’ve likely heard a lot about Big Data. You may have even heard about “the three Vs” of Big Data. Originally defined by Gartner, “Big Data is “high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision-making, insight discovery and process optimization.”

Read More

In the first post of this blog series, we focused on jargon related to the “volume” aspect of Big Data and its impact on data modeling and data-driven organizations. In this post, we’ll focus on “velocity,” the second of Big Data’s “three Vs.” In particular, we’re going to explore the Internet of Things (IoT), the…

Read More

In the first two posts of this series, we focused on the “volume” and “velocity” of Big Data, respectively.  In this post, we’ll cover “variety,” the third of Big Data’s “three Vs.” In particular, I plan to discuss NoSQL and NewSQL databases and their implications for data modeling. As the volume and velocity of data…

Read More

More and more businesses are adopting managed data lakes. Earlier in this blog series, we established that leading organizations are adopting a variety of approaches to manage data, including data that may be sourced from a wide range of NoSQL, NewSQL, RDBMS and unstructured sources. In this post, we’ll discuss managed data lakes and their…

Read More

There’s no escaping data’s role in the cloud, and so it’s crucial that we analyze the cloud’s impact on data modeling. 

Read More

With the volume and velocity of data increasing, in-memory databases provide a way to keep processing speeds low. Traditionally, databases have stored their data on mechanical storage media such as hard disks. While this has contributed to durability, it’s also constrained attainable query speeds. Database and software designers have long realized this limitation and sought…

Read More