Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources of information and instantly determines and evaluates the relationships among events in real-time. It is […]

In the current fast-paced digital age, many data sources generate an unending flow of information, a never-ending torrent of facts and figures that, while perplexing when examined separately, provide profound […]

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for analysis/decision-making. Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This […]

Over the past few years, Apache Kafka has emerged as the leading standard for streaming data. Fast-forward to the present day, Kafka has achieved ubiquity, being adopted by at least […]

When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The […]

Data is quickly becoming the new currency of the digital economy, but it is useless if it can’t be processed. The processing of data is essential for subsequent decision-making or […]

The technologies related to Big Data processing platform are enhancing the maturity in order to efficiently execute the streaming data which is becoming a major focal point to take business […]

Analyzing streaming data in large-scale systems is becoming a focal point day by day to take accurate business decisions due to mushrooming of digital data generation sources around the globe […]