VERA Blog Series Part 3: Full Stream Ahead!
Explore the key features, benefits, and impressive performance metrics that VERA, the cloud native engine revolutionizing Apache Flink contains.
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34 posts
Explore the key features, benefits, and impressive performance metrics that VERA, the cloud native engine revolutionizing Apache Flink contains.
VERA, the cloud-native engine for Apache Flink. Explore its core pillars: Streaming Data Movement, Real-time Stream Processing, and Streaming Lakehouse.
VERA: The Cloud Native Engine Revolutionizing Apache Flink®. Discover how VERA optimizes and modernizes Flink for high-performance stream processing.
Learn about Ververica's journey to revolutionize stream processing. Explore VERA, the engine powering our advanced Unified Streaming Data Platform.
Learn how ING Bank leveraged FlinkSQL to build a novel HTTP connector for data enrichment, connecting to API endpoints for stream processing.
Learn how to build real-time data views using Streamhouse and Apache Paimon. Discover how to implement a data analytics pipeline.
Learn about Streamhouse, a data processing pattern that combines real-time stream processing with the structured nature of data warehouses.
Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses, releases version 0.6!
Learn how to easily bootstrap a data pipeline using Apache Flink's HybridSource. This blog post provides a step-by-step guide and code examples.
Stream enrichment in Apache Flink breathes life into data, transforming it from grayscale to full color. Discover the three ways to access reference data.
If you find yourself needing real-time computing solutions and you're comfortable with the Python or want to use some handy Python libraries in the process
We will demonstrate how to use Fink's test harnesses to verify the correctness of Flink's built-in operators and custom user-defined functions (UDFs).