Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…
Data streaming unifies OT/IT workloads by connecting information from sensors, PLCs, robotics and other manufacturing systems at the edge with…
How do you prevent hallucinations from large language models (LLMs) in GenAI applications? LLMs need real-time, contextualized, and trustworthy data…
One of the greatest wishes of companies is end-to-end visibility in their operational and analytical workflows. Where does data come…
Time flies… I joined Confluent seven years ago when Apache Kafka was mainly used by a few tech giants and…
Snowflake is a leading cloud data warehouse and transitions into a data cloud that enables various use cases. The major…
The integration between Apache Kafka and Snowflake is often cumbersome. Options include near real-time ingestion with a Kafka Connect connector,…
Snowflake is a leading cloud-native data warehouse. Integration patterns include batch data integration, Zero ETL and near real-time data ingestion…
Google announced its Apache Kafka for BigQuery cloud service at its conference Google Cloud Next 2024 in Las Vegas. Welcome…
Apache Kafka became the de facto standard for data streaming. However, the combination of an event-driven architecture with request-response APIs…