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 […]

In today’s data-driven world, the capability to transport and circulate large amounts of data, especially video files, in real-time is crucial for news media companies. For example, an incident occurred […]

Although both Apache Druid and Apache Kafka are potent open-source data processing tools, they have diverse uses. While Druid is a high-performance, column-store, real-time analytical database, Kafka is a distributed […]

A real-time analytics database called Apache Druid is developed for quick slice-and-dice analysis on massive data volumes. The best data for Apache Druid is event-oriented and frequently utilized as 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 […]

There are multiple ways to ingest data streams into Kafka topic and subsequently deliver to various types of consumers who are hooked to the topic. The stream of data that […]

Needless to say Apache Kafka delivers messages to both real-time and batch consumers without performance degradation and in addition to that gaining enormous momentum as a foremost component for data […]

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 […]