Stream Processing: Who, How, and Why

Stream Processing: Who, How, and Why

What is Stream Processing?  Stream processing is the processing of event data in real time or near real time. The goal is to continuously intake inputs from data (or “event”) streams and immediately process or transform the data into output streams. The input is...
How to Maintain Data Quality for Real-time Data Flows

How to Maintain Data Quality for Real-time Data Flows

Data quality is the basis of smooth operations and reliable outcomes of analytical algorithms, AI, and machine learning models. Traditionally, data quality monitoring is focused more on maintaining data quality when data is at rest than on ensuring that data is of...
The Rising Hype for Automated Data Engineering

The Rising Hype for Automated Data Engineering

Get your complimentary copy of the Gartner 2022 Hype Cycle for Data Management here. With the data game shifting constantly, maintaining the current load while looking ahead has become both more difficult and more necessary. The amount of resources required simply to...