Gautam Goswami – Medium

Gautam Goswami

The Significance of Complex Event Processing (CEP) with RisingWave for Delivering Accurate Business…

Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources of information and instantly…

Sep 9

The Significance of Complex Event Processing (CEP) with RisingWave for Delivering Accurate Business…

Sep 9

Integrating Apache Kafka in KRaft Mode with RisingWave for Event Stream Processing

Over the past few years, Apache Kafka has emerged as the top event streaming platform for streaming data/event ingestion. However, in…

Aug 22

Integrating Apache Kafka in KRaft Mode with RisingWave for Event Stream Processing

Aug 22

Criticality in Data Stream Processing and a Few Effective Approaches

In the current fast-paced digital age, many data sources generate an unending flow of information, a never-ending torrent of facts and…

Jul 27

Criticality in Data Stream Processing and a Few Effective Approaches

Jul 27

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 costs. This involved grouping data that was not accessed…

Jun 25

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

Jun 25

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

With the use of telemetry, data can be remotely measured and transmitted from multiple sources to a single place for control, analysis, and…

May 25

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

May 25

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…

May 15

RisingWave- An unwrinkled road to event stream processing

May 15

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for…

Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This allows them to take advantage of…

Apr 12

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for…

Apr 12

Resolved “java.lang.NoClassDefFoundError:

Apache Flink is a high-throughput, unified batch and stream processing engine, renowned for its capability to handle continuous data…

Mar 26

Mar 26

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 data. Fast-forward to the present day, Kafka has…

Mar 7

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

Mar 7

Why Apache Kafka and Apache Flink Work Well Together to Boost Real-Time Data Analytics

When data is analyzed and processed in real time, it can yield insights and actionable information either instantly or with very little…

Feb 14

Why Apache Kafka and Apache Flink Work Well Together to Boost Real-Time Data Analytics

Feb 14

Gautam Goswami

Gautam Goswami

Zealous for gaining knowledge and exchanging insights on big data, data streaming, etc. Crafted dataview.in. Connect me @ https://in.linkedin.com/in/gautamg

Following

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams