Explore >> Select a destination
|
You are here 
|
www.notion.so | ||
| | | | |
ministryofjustice.github.io
|
|
| | | | | How we leveraged Amazon Athena, along with the Apache Iceberg table format and the dbt SQL management framework, to build robust, scalable and maintainable ELT (extract, load, transform) pipelines. | |
| | | | |
lakefs.io
|
|
| | | | | Explore data pipeline automation and boost business growth through enhanced data quality, efficiency, and scalability. Learn how to streamline data management. | |
| | | | |
www.onehouse.ai
|
|
| | | | | A thorough comparison of the Apache Hudi?, Delta Lake, and Apache Iceberg? data lakehouse projects across features, community, and performance benchmarks. This includes a focus on common use cases such as change data capture (CDC) and data ingestion. | |
| | | | |
www.bland.ai
|
|
| | | Voice AI and the Imperative of Enterprise Security | ||
