Data Governance

YAML vs XML vs JSON: History, Trade-offs, and Where Each Wins in the Age of Agentic AI

XML, JSON, and YAML were built for different jobs in different eras. This post covers where each came from, how…

1 month ago

Beyond Enterprise Data Lineage: The Case for a Platform-Independent Data Catalog

Most organizations start their data governance journey by asking how to track where data comes from and where it goes.…

3 months ago

Top Trends for Data Streaming with Apache Kafka and Flink in 2026

Each year brings new momentum to the data streaming space. In 2026, six key trends stand out. Platforms and vendors…

8 months ago

FinOps in Real Time: How Data Streaming Transforms Cloud Cost Management

FinOps bridges the gap between finance and engineering to control cloud spend in real time. However, many organizations still rely…

1 year ago

Open Standards for Data Lineage: OpenLineage for Batch AND Streaming

One of the greatest wishes of companies is end-to-end visibility in their operational and analytical workflows. Where does data come…

2 years ago

Policy Enforcement and Data Quality for Apache Kafka with Schema Registry

Good data quality is one of the most critical requirements in decoupled architectures, like microservices or data mesh. Apache Kafka…

3 years ago

Apache Kafka for Data Consistency (and Real-Time Data Streaming)

Real-time data beats slow data in almost all use cases. But as essential is data consistency across all systems, including…

4 years 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…

4 years ago