Apache Flink
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data warehouse, data lake or lakehouse.
15. June 2024
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data warehouse, data lake or lakehouse.
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get
Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic. The log compaction and key/value
Apache Kafka added Tiered Storage to separate compute and storage. The capability enables more scalable, reliable and cost-efficient enterprise architectures. This blog post explores the
Data Streaming is one of the most relevant buzzwords in tech to build scalable real-time applications in the cloud and innovative business models. Do you
Apache Kafka is the de facto standard for event streaming to process data in motion. This blog post explores when NOT to use Apache Kafka.
Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the latter makes operations a challenge
A question I get every week from customers across the globe: How can I integrate my SAP system with Apache Kafka? This post explores various
Time to get more innovative; even with the mainframe! This blog post covers the steps I have seen in projects where enterprises started offloading data
‘Data Historian‘ is a well-known concept in Industrial IoT (IIoT). It helps to ensure and improve the Overall Equipment Effectiveness (OEE). Data Historian has a
