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www.rilldata.com | ||
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www.dquach.com
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| | | | | [AI summary] The article discusses the current state of data engineering in Q3 2024, focusing on Open Table Formats (OTFs) like Apache Iceberg, Databricks, and Delta Lake, along with updates on AI prompt engineering, new tools like DuckDB, and cloud provider advancements. | |
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estuary.dev
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| | | | | Compare Apache Polaris and Unity Catalog to explore features, differences, and use cases in this ultimate guide to Iceberg data catalogs. | |
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streamnative.io
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| | | | | Ursa: Reimagine Apache Kafka for the Cost-Conscious Data Streaming | |
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www.onehouse.ai
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| | | Discover how to effectively use Apache Hudi? along with Iceberg and Delta Lake in modern data lakes. This article explores why organizations need multiple table formats, breaks down their unique strengths, and explains how new tools enable seamless integration across formats while maintaining performance and reducing complexity. | ||