In extracting usable information, data warehouses struggle to keep up with the rising volume of data collected. This article provides an overview of big data architecture and platforms, tools for data …

The increasing prevalence of streaming big data has revolutionized how organizations approach real-time analytics, providing a competitive edge by enabling immediate, actionable insights from...

We discuss and compare different open source and commercial platforms that can be used to develop a data lake. We then describe our end-to-end data lake design and implementation approach using the …

We first discuss the concept of the modern data architecture approach, modern data streaming architecture, then present three modern data architecture data movement patterns to derive insights …

fall under the class of big data because it required gathering and accomplishing the data on a regular basis. The basic characteristics of Big Data not only focuses on scal nd volume, also involves many …

Embracing data streaming is transformative, akin to the shifts to mobile and cloud technologies. It enables real-time customer engagement, predictive analytics, and automated decision-making.

Kafka Connect: Apache Kafka provides a framework for streaming data between external data systems and Apache Kafka to support data pipelines in organizations. Kafka Connect can be run as a …