database

The Shift Left Architecture – From Batch and Lakehouse to Real-Time Data Products with Data Streaming

Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…

5 months ago

When NOT to Use Apache Kafka? (Lightboard Video)

Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth…

8 months ago

How the Retailer Intersport uses Apache Kafka as Database with Compacted Topic

Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic.…

10 months ago

Why Tiered Storage for Apache Kafka is a BIG THING…

Apache Kafka added Tiered Storage to separate compute and storage. The capability enables more scalable, reliable and cost-efficient enterprise architectures.…

12 months ago

Top 5 Data Streaming Trends for 2023

Data Streaming is one of the most relevant buzzwords in tech to build scalable real-time applications in the cloud and…

2 years ago

When NOT to use Apache Kafka?

Apache Kafka is the de facto standard for event streaming to process data in motion. This blog post explores when…

3 years ago

Serverless Kafka in a Cloud-native Data Lake Architecture

Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the…

3 years ago

Kafka SAP Integration – APIs, Tools, Connector, ERP et al

A question I get every week from customers across the globe: How can I integrate my SAP system with Apache…

4 years ago

Mainframe Integration, Offloading and Replacement with Apache Kafka

Time to get more innovative; even with the mainframe! This blog post covers the steps I have seen in projects…

5 years ago

Apache Kafka as Data Historian – an IIoT / Industry 4.0 Real Time Data Lake

'Data Historian' is a well-known concept in Industrial IoT (IIoT). It helps to ensure and improve the Overall Equipment Effectiveness…

5 years ago