Confluent and Databricks enable a modern data architecture that unifies real-time streaming and lakehouse analytics. By combining shift-left principles with…
This blog explores how Confluent and Databricks address data integration and processing in modern architectures. Confluent provides real-time, event-driven pipelines…
Industrial enterprises face increasing pressure to move faster, automate more, and adapt to constant change—without compromising reliability. Siemens Digital Industries…
The rise of real-time AI and machine learning is reshaping the competitive landscape. Traditional batch-trained models struggle with model drift,…
Tesla’s Virtual Power Plant (VPP) turns thousands of home batteries, solar panels, and energy storage systems into a coordinated, intelligent…
Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless…
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…