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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Provide information for the following parameters: DatalakeUserName DatalakeUserPassword DatabaseName TableName DatabaseLFTagKey DatabaseLFTagValue TableLFTagKey TableLFTagValue Choose Next. Data location permissions work in addition to Lake Formation data permissions to secure information in your data lake. Choose Next.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Time Travel: Reproduce a query as of a given time or snapshot ID, which can be used for historical audits and rollback of erroneous operations, as an example. 8 2001 5967780. Partition Transform Information. We see that as of the first snapshot ( 7445571238522489274) we had data from the years 1995 to 2005 in the table.

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Clean Harbors’ CIO: Hybrid approach to the cloud is a win-win

CIO Business Intelligence

-based company — which played a key role eliminating hazardous waste during the COVID pandemic and in the aftermath of 9-11, Anthrax attacks, Hurricane Katrina, and the massive BP oil spill — continues to rely heavily on its on-premises Oracle-based Waste Information Network (WIN) and is in no hurry to migrate everything to the cloud.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. We use two datasets in this post.