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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Enhance your security posture by storing Amazon Redshift admin credentials without human intervention using AWS Secrets Manager integration

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. We recommend you use Secrets Manager for storing Amazon Redshift user credentials because it allows you to configure safer secret rotation, customize fine-grained access control, and audit and monitor secrets centrally.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

Unaligned checkpoints help, under specific conditions, to reduce checkpointing time for applications suffering temporary backpressure, and can be now enabled in Amazon Managed Service for Apache Flink applications running Apache Flink 1.15.2 When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

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Amazon Managed Service for Apache Flink now supports Apache Flink version 1.18

AWS Big Data

Amazon Managed Service for Apache Flink , which offers a fully managed, serverless experience in running Apache Flink applications, now supports Apache Flink 1.18.1 , the latest version of Apache Flink at the time of writing. and supported in Amazon Managed Service for Apache Flink. The dependency for Apache Flink 1.18

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. Tags allows you to assign metadata to your AWS resources. Create cost reports.

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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. Iceberg creates snapshots for the table contents.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage. There are a number of solutions that can help companies manage their databases. They don’t even necessarily need to understand NoSQL to manage their databases.

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