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

AWS Big Data

To learn more about the features supported in each Apache Flink version, you can consult the Apache Flink blog , which discusses at length each of the Flink Improvement Proposals (FLIPs) incorporated into each of the versioned releases. The next recommended step is to test your application locally with the newly upgraded Apache Flink runtime.

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An Expert Under the Hood: White-Label Reports and Dashboards

Sisense

What are white-labeled reports White-label reports: Under the hood Exploring white-label dashboards Use case snapshots Horsepower under the hood. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time.

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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? Through visual KPI tracking tools such as a KPI dashboard , you uncover greater insights than you ever thought possible, streamlining your organization for success in an increasingly competitive digital landscape. KPI Tracking In Action: 3 Real-World Dashboards.

KPI 195
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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective. However, the use of dashboards, big data, and predictive analytics is changing the face of this kind of reporting.

Reporting 263
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes. Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software?

Big Data 275
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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.

Data Lake 121
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

Amazon S3 allows you to access diverse data sets, build business intelligence dashboards, and accelerate the consumption of data by adopting a modern data architecture or data mesh pattern on Amazon Web Services (AWS). This can be checked using.snapshots to check Iceberg tables’ snapshot file location. Choose Next to create your stack.

Data Lake 105