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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.fivetran.com
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| | | | | Automated data integration, centralized data storage, and governance underpin your data fabric. | |
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lakefs.io
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| | | | | An update on all the latest tools and trends in the data engineering space for 2022. | |
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www.onehouse.ai
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| | | Onehouse customers can now query their Hudi? tables as an Apache Iceberg? and/or Delta Lake table, unlocking native performance accelerations in Databricks, Snowflake, other proprietary services, and open source projects. All leading data lakehouse table formats can now be accessed interchangeably. | ||