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lakefs.io | ||
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rmoff.net
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| | | | | [AI summary] This article discusses the evolution of data engineering in 2022, focusing on storage and access methods for analytical data, including the transition from traditional data warehouses to modern data lakehouses and open formats. | |
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www.getorchestra.io
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| | | | | Discover how Data Engineers are using Apache Iceberg in Snowflake to replace External Tables, thereby truly deocupling compute and storage. Find out more. | |
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www.confluent.io
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| | | | | 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. | |
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www.onehouse.ai
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| | | 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. | ||
