Remove 2001 Remove Management Remove Metadata Remove Metrics
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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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

AWS Big Data

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. Due to the security requirements of different organizations, they need to manage fine-grained access control for the analysts through Lake Formation.

Snapshot 114
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Data Science, Past & Future

Domino Data Lab

It involved a lot of interesting work on something new that was data management. I recently did “ Fifty Years of Data Management and Beyond ” which looks at roughly the same time period. Then in the bottom tier, you had your data management, your back office, right? I definitely recommend Chris as well.