Spring Boot and Kafka Configuration Tuning. See a setup for configuration tuning in an isolated environment and to determine the Spring Boot, Kafka configuration and best practices for moderate uses.
The goal of this exercise is to provide a setup for configuration tuning in an isolated environment and to determine the Spring Boot, Kafka configuration, and best practices for moderate uses. The high-level observations are:
I recently got involved in an initiative where we had a need to hydrate two or more clusters of an In Memory Data Grid (IMDG) with transient data from a combination of data sources. [Please don’t ask me why? :)]
Given the fact that All IMDG clusters must be always in an identical state, the option of sourcing the data directly from each IMDG was out of the question for obvious reasons. I needed a common memory space that is accessible or can flow the data to all IMDGs. In our infrastructure, Kafka was the only available system that was accessible from all IMDGs. Hence, it was decided to fill a Kafka topic once from all data sources, and then use it as a single data source to hydrate all IMDGs.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought
We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
In this article, see the role of big data in healthcare and look at the new healthcare dynamics. Big Data is creating a revolution in healthcare, providing better outcomes while eliminating fraud and abuse, which contributes to a large percentage of healthcare costs.
Big Data Analytics is the next big thing in business, and it is a reality that is slowly dawning amongst companies. With this article, we have tried to show you the importance of Big Data in business and urge you to take advantage of this immense...
A data expert discusses the three different types of data lakes and how data lakes can be used with data sets not considered 'big data.'