Introducing Ververica's Bring Your Own Cloud Deployment Offering
Introducing Ververica's new Bring Your Own Cloud (BYOC) deployment, which allows full control over your infrastructure and seamless integration with AWS.
Karin Landers6 min read
Tag
Apache Flink
28 posts
The Streamhouse Evolution
Discover the evolution of stream processing with Ververica’s Streamhouse, which combines real-time streaming and Lakehouse benefits.
Giannis Polyzos22 min read
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.
Karin Landers11 min read
VERA Blog Series Part 2: Under the Hood: VERA's 3 Core Pillars
VERA, the cloud-native engine for Apache Flink. Explore its core pillars: Streaming Data Movement, Real-time Stream Processing, and Streaming Lakehouse.
Karin Landers16 min read
VERA Blog Series Part 1: From Steam to Stream
VERA: The Cloud Native Engine Revolutionizing Apache Flink®. Discover how VERA optimizes and modernizes Flink for high-performance stream processing.
Karin Landers9 min read
(Re)Introducing Ververica
Learn about Ververica's journey to revolutionize stream processing. Explore VERA, the engine powering our advanced Unified Streaming Data Platform.
Dawn Lemon4 min read
Performing API Calls Via a Custom HTTP Connector Using Flink SQL
Learn how ING Bank leveraged FlinkSQL to build a novel HTTP connector for data enrichment, connecting to API endpoints for stream processing.
Erik de Nooij16 min read
Q&A with Erik de Nooij: Insights into Apache Flink® and the Future of Streaming Data
Erik de Nooij, engineering lead for streaming data analytics at ING, on adopting Apache Flink in 2016, moving to a Flink SQL-only approach, and streaming for AI.
Kaye Lincoln6 min read
Building real-time data views with Streamhouse
Learn how to build real-time data views using Streamhouse and Apache Paimon. Discover how to implement a data analytics pipeline.
Alexey Novakov12 min read
Apache Paimon 0.6 Released
Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses, releases version 0.6!
Giannis Polyzos2 min read
How-to guide: Synchronize MySQL sub-database and sub-table using Flink CDC
This tutorial will show you how to use Flink CDC to build a real-time data lake to synchronize MySQL sub-database and sub-table
Ververica4 min read
How-to guide: Build Streaming ETL for MySQL and Postgres based on Flink CDC
Learn how to build a real-time streaming ETL pipeline for MySQL and Postgres using Flink CDC, integrating data into Elasticsearch without coding.
Ververica5 min read