Remove Events Remove Measurement Remove Snapshot
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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks. Snapshot management allows concurrent data operations without interference, maintaining data consistency across transactions.

Metadata 111
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Improve the resilience of Amazon Managed Service for Apache Flink application with system-rollback feature

AWS Big Data

“Everything fails all the time” – Werner Vogels, CTO Amazon Although customers always take precautionary measures when they build applications, application code and configuration errors can still happen, causing application downtime. It also offers first-class support for stateful processing and event time semantics.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

This Iceberg event-based table management feature lets you monitor table activities during writes to make better decisions about how to manage each table differently based on events. To use the feature, you can use the iceberg-aws-event-based-table-management source code and provide the built JAR in the engine’s class-path.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. The streaming records are read in the order they are produced, allowing for real-time analytics, building event-driven applications or streaming ETL (extract, transform, and load).

Analytics 116
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Monitor and Address Anomalies to Keep Your Business On Track!

Smarten

For example: An Unanticipated Problem is, by definition, unexpected, and may or may not result in an adverse event. Discover the power of Smarten SnapShot Anomaly Monitoring And Alerts , and Augmented Analytics Products. It may involve increased risk, or harm.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

When a usage limit threshold is reached, events are also logged to a system table. Automated backup Amazon Redshift automatically takes incremental snapshots that track changes to the data warehouse since the previous automated snapshot. Manual snapshots can be kept indefinitely at standard Amazon S3 rates.

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BusinessObjects Users Advancing Toward What Will Be

Paul Blogs on BI

brings its powerful semantic layer to the Webi document so you can create a new data model based on existing objects (dimensions, measures, variables) from an existing Webi document to use as a source for other Webi documents. In addition, BI 4.3 All done with the new InfoBurst Tab.