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In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

The next recommended step is to test your application locally with the newly upgraded Apache Flink runtime. After you have sufficiently tested your application with the new runtime version, you can begin the upgrade process. Refer to General best practices and recommendations for more details on how to test the upgrade process itself.

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Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

Your Chance: Want to test a professional KPI tracking software for free? KPI tracking is a definitive means of monitoring your most relevant key performance indicators for increased business success with the help of modern KPI software. KPI tracking software gives businesses the tools to set informed goals and benchmarks.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables.

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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

Watch this: Enterprise Software that is so easy a 10 year old can demo it. It is hard for an enterprise infrastructure software company to create simple products. Yet, users of those products want a consumer level of simplicity in enterprise software. the time it took to deploy their software end-to-end. .

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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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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop? This means that you can rely on standard software best practices to build your data integration pipeline. Test In the testing phase, you check the implementation for bugs.

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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. Choose Advanced options.

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