A Step Ahead: Exploring Data Lakes, Warehouses, and Lakehouses
In the ever-evolving world of data management, the terms “data lake,” “data warehouse,” and “data lakehouse” are frequently discussed. Each…
MITRE
A Step Ahead: IoT Computing – Where Computing Occurs
There is always the need for computing to be more available and distributed, especially given the data volume generated from…
A Step Ahead: IoT Communication – How Vast Data Is Moved
To fully understand IoT, one should know what the internet is first. Simply speaking, the internet is the abbreviation of…
A Step Ahead: IoT Sensors – Where Vast Data Comes From
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
A Step Ahead: IoT Data Characteristics — Seven Vs
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing,…
A Step Ahead: Categories – Boon or Bane?
Do you love or hate organizing papers and objects in your home? For those that hate it, why do you…
A Step Ahead: Data in Support of (Zero) Trust
Over the past year, the conversations around Zero Trust have begun to accelerate. Much of the discussion is akin to…
A Step Ahead: Data Fabric and Data Mesh – Similarities and Differences
The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and…
A Step Ahead: Federated Data Stores
Government systems produce and store a large amount of data daily. Government leaders want to utilize this data to make…
Tales & Tips from the Trenches: Two Types of Graph Databases
This column focuses on 1) two classes of graph databases – Property and Semantic 2) how Property and Semantic graph…