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 www.fabianstadler.com
Pipelines as Code With Delta Live Tables | Fabian Stadler
| | curatedsql.com
2020-01-14 - Curated SQL
10.6 parsecs away

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| | ministryofjustice.github.io
Building a transaction data lake using Amazon Athena, Apache Iceberg and dbt - Data and Analytics Engineering - Ministry of Justice
11.0 parsecs away

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| | 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.
| | www.ssp.sh
Business Intelligence meets Data Engineering with Emerging Technologies | ssp.sh
10.4 parsecs away

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| | Today with ever-growing tools, framework and complex cloud architectures, how do we make BI easier, faster and more accessible again with data engineering?
| | www.onehouse.ai
S3 Managed Tables, Unmanaged Costs: The 20x Surprise with AWS S3 Tables
28.6 parsecs away

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| AWS S3 Tables aims to simplify Apache Iceberg table maintenance, but we found long compaction delays, limited observability, and costs 20-30x higher than alternatives. Delays of 2.5-3 hours hurt performance, and S3 Tables lack controls over compaction frequency or performance profiles.