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…
Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments.…
Data streaming is a new software category. It has grown from niche adoption to becoming a fundamental part of modern…
Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as the foundation for cloud services,…
The research company Forrester defines data streaming platforms as a new software category in a new Forrester Wave. Apache Kafka…
Data streaming is a new software category to process data in motion. Apache Kafka is the de facto standard used…
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.…
At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical microservices with…
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc.…