Comprehending Real-Time Event Processing with Kafka
Real-Time Event Processing with Kafka As the industry grows, the production of products also increases in the changing scenario. This data can be a great asset to the business if…
Real Time Data Integration Solutions and Best Practices
It is collecting and combining data from various resources. It provides a unified structure or view of the combined data to manipulate operations, perform analytics, and build statistics. Integration is…
Data Ingestion Pipeline Architecture and its Use Cases
Introduction to Data Ingestion Pipeline In today's data-driven world, organizations face the challenge of efficiently capturing and processing vast amounts of data from various sources. This is where a data ingestion pipeline…
Streaming Analytics Architecture, Tools and Best Practices
Overview of Stream Analytics Stream Analytics delivers the most powerful insights from the data. Nowadays, there are a lot of Data Processing platforms available to process data from our ingestion platforms. Some support streaming…
Top 10 Streaming Analytics Tools for 2025
What is Streaming Analytics? Typically when we talk about Big Data, we see benefits in its 5V’s: velocity, veracity, volume, variety, and value. Streaming Analytics epitomises the velocity part of it.…
Integrating Real Time Analytics with Continuous Intelligence
Continuous Intelligence - Integrating Intelligence in Real-Time? The amount of data generated in today’s world is mind-boggling, with up to 90% of it classified as unstructured data. This presents a significant…
Data Analytics in Insurance Industry: The Ultimate Guide
Overview of Data Analytics in the Insurance Industry The technological landscape changes, and so do the industries. Today a worldwide variety of insurance exists. Still, it is challenging for clients…
