Remove 2023 Remove Experimentation Remove Snapshot Remove Testing
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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation. Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example. Note the configuration parameters s3.write.tags.write-tag-name

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

If the exploratory work needs to move on to testing and production, they can plan appropriately. They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. This way, the queries run much faster.

OLAP 90