Explore >> Select a destination
|
You are here 
|
meltware.com | ||
| | | | |
lakefs.io
|
|
| | | | | Discover what an Iceberg catalog is, its role, different types, challenges, and how to choose and configure the right catalog. Read on to learn more. | |
| | | | |
www.confluent.io
|
|
| | | | | Existing Confluent Cloud (CC) AWS users can now use Tableflow to easily represent Kafka topics as Iceberg tables and then leverage AWS Glue Data catalog to power real-time AI and analytics workloads. | |
| | | | |
jack-vanlightly.com
|
|
| | | | | In the previous post, I covered append-only tables, a common table type in analytics used often for ingesting data into a data lake or modeling streams between stream processor jobs. I had promised to cover native support for changelog streams, aka change data capture (CDC), but before I do so, I think we should first look at how the table formats support the ingestion of data with row-level operations (insert, update, delete) rather than query-level operations that are commonly used in SQL batch commands. | |
| | | | |
www.onehouse.ai
|
|
| | | Format wars are over. The real innovation? Building data platforms that empower teams to use the right tool for their needs. Discover how an open, flexible approach unlocks innovation and efficiency. | ||
