Which Flow Is Best for Your Data Needs: Time Series vs. Streaming Databases
Data is being generated from various sources, including electronic devices, machines, and social media, across all industries. However, unless it is processed and stored effectively, it holds little value. A […]
RisingWave- An unwrinkled road to event stream processing
A distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient. Businesses can quickly and effectively respond to user behavior patterns by utilizing real-time analytics. This […]
Transferring real-time data processed within Apache Flink to Kafka
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 […]
Leveraging Apache Kafka for the Distribution of Large Messages (in gigabyte size range)
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 […]
Understanding of Supervisor and it’s specification in Apache Druid for real-time data ingestion from Apache Kafka
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 […]
Why Kappa Architecture for processing of streaming data. Have competence to superseding Lambda Architecture?
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 […]
