Categories: Tech Threads

Bridging the Gap: Unlocking the Power of HDFS-Based Data Lakes with Streaming Databases

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

8 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

9 months ago

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

Over the past few years, Apache Kafka has emerged as the leading standard for streaming… Read More

10 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