Mage pivoted from an AI platform to an open-source data pipeline tool and is making a huge impact on the lives of data engineers around the world.

Dive into the implementation of stream data processing with Mage, using Kafka as source.

Join us for our first ever in-person data engineering meetup on Tuesday, June 27, 2023 from 6pm to 8pm (PST) in San Francisco, Bay Area! Don't miss out on this fantastic opportunity to learn about the latest technologies and best practices in the data engineering field and network with data professionals!

This guide introduces Apache Flink and stream processing, explaining how to set up a Flink environment and create simple applications. Key Flink concepts are covered along with basic troubleshooting and monitoring techniques. It ends with resources for further learning and community support.

What are people saying about Mage, the modern day open-source data pipeline tool for transforming and integrating your data? Discover the buzz for yourself by checking out these blogs and articles written by those in the data engineering community!

Combine powerful database features with the flexibility of an object storage system by using the Delta Lake framework.

Dive into a comprehensive comparison of Apache Flink and Apache Spark, exploring their differences and strengths in data processing, to help you decide which framework best suits your data processing needs.

Join us for our first ever in-person data engineering meetup on Saturday, May 20, 2023 from 11am to 2pm (IST) in Gurugram, India! Don't miss this fantastic opportunity to connect, learn, and celebrate with your fellow data aficionados.

Discover the Hidden Benefits and Drawbacks of dbt.

Apache Flink is a powerful open-source stream processing framework for big data, offering real-time and batch processing capabilities. With its flexibility and scalability, Flink is ideal for use cases like fraud detection, log analysis, IoT (Internet of Things), anomaly detection, and machine learning, making it a go-to solution for organizations needing real-time analytics and insights.