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| | ministryofjustice.github.io
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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.
| | lakefs.io
10.9 parsecs away

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| | An update on all the latest tools and trends in the data engineering space for 2022.
| | www.confluent.io
11.5 parsecs away

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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.
| | www.decodable.co
72.8 parsecs away

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| How does the current state of data movement within a typical data platform compare to a stream processing environment? Sharon explores the scaling and management challenges of a traditional approach and looks at the benefits of unified data movement to support ELT, ETL, and data replication.