How to convert Apache Kafka topics into Apache Iceberg with Danica Fine, Snowflake скачать в хорошем качестве

How to convert Apache Kafka topics into Apache Iceberg with Danica Fine, Snowflake

Kafka Meetup London is powered by OSO, to find out more our Kafka Services visit: https://oso.sh/?utm_source=youtube&ut... Have piping-hot, real-time data in Apache Kafka® but want to chill it down into Apache Iceberg™ tables? Let’s see how we can craft the perfect cup of “Iced Kaf-fee” for you and your needs! We’ll start by grinding through the motivation for moving data from Kafka topics into Iceberg tables, exploring the benefits that doing so has to offer your analytics workflows. From there, we’ll open up the menu of options available to cool down your streams, including Apache Flink®, Apache Spark™, and Kafka Connect. Each brewing method has its own recipe, so we’ll compare their pros and cons, walk through use cases for each, and highlight when you might prefer a strong Spark roast over a smooth Flink blend—or maybe a Connect cold brew. Plus, we’ll share a sneak peek at future innovations that are percolating in the community to make sinking your Kafka data into Iceberg even easier. By the end of the session, you’ll have everything you need to whip up the perfect pipeline and serve up your “Iced Kaf-fee” with confidence.