Categories: Tech Threads

Streaming real-time data from Kafka 3.7.0 to Flink 1.18.1 for processing

Recent Posts

Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal Performance

At first, data tiering was a tactic used by storage systems to reduce data storage… Read More

6 months ago

Exploring Telemetry: Apache Kafka’s Role in Telemetry Data Management with OpenTelemetry as a Fulcrum

With the use of telemetry, data can be remotely measured and transmitted from multiple sources… Read More

7 months ago

RisingWave- An unwrinkled road to event stream processing

A distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient.… Read More

7 months ago

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.… Read More

8 months ago

Why Apache Kafka and Apache Flink work incredibly well together to boost real-time data analytics

When data is analyzed and processed in real-time, it can yield insights and actionable information… Read More

11 months ago

Integrating rate-limiting and backpressure strategies synergistically to handle and alleviate consumer lag in Apache Kafka

Apache Kafka stands as a robust distributed streaming platform. However, like any system, it is… Read More

11 months ago