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

AWS Big Data

Iceberg creates snapshots for the table contents. Each snapshot is a complete set of data files in the table at a point in time. Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. For more information, refer SQL models.

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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

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

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

AWS Big Data

For our testing, we generated about 58,176 small objects with total size of 2 GB. For running the Amazon EMR tests, we used Amazon EMR version emr-6.11.0 Check the snapshot table to see that a new snapshot is created for the table with the operation replace. with Spark 3.3.2, and JupyterEnterpriseGateway 2.6.0.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. At the top of the hierarchy is the metadata file, which stores information about the table’s schema, partition information, and snapshots.

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InMoment - Showcasing Return on Customer Experience Investment (ROXI)

Corinium

Here are four tips for showcasing return on experience investment (ROXI): Take a Snapshot of Current Business Performance. Best practices show that the financial impact of the CX capability is outlined in the onboarding process, tested and controlled along the way and measured and reported against quarterly.

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