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Florida Crystals concentrates SAP in hosting sweet spot

CIO Business Intelligence

Kevin Grayling, CIO, Florida Crystals Florida Crystals It’s ASR that had the more modern SAP installation, S/4HANA 1709, running in a virtual private cloud hosted by Virtustream, while its parent languished on SAP Business Suite. One of those requirements was to move out of its hosting provider data center and into a hyperscaler’s cloud.

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Developer guidance on how to do local testing with Amazon MSK Serverless

AWS Big Data

This allows developers to test their application with a Kafka cluster that has the same configuration as production and provides an identical infrastructure to the actual environment without needing to run Kafka locally. A bastion host instance with network access to the MSK Serverless cluster and SSH public key authentication.

Testing 109
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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

For customers to gain the maximum benefits from these features, Cloudera best practice reflects the success of thousands of -customer deployments, combined with release testing to ensure customers can successfully deploy their environments and minimize risk. Traditional data clusters for workloads not ready for cloud.

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Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

You can now test the newly created application by running the following command: npm run dev By default, the application is available on port 5173 on your local machine. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options. The base application is shown in the workspace browser.

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Perform Amazon Kinesis load testing with Locust

AWS Big Data

Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. However, generating a continuous stream of test data requires a custom process or script to run continuously. In our testing with the largest recommended instance (c7g.16xlarge),

Testing 98
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What to Do When AI Fails

O'Reilly on Data

Most AI models decay overtime: This phenomenon, known more widely as model decay , refers to the declining quality of AI system results over time, as patterns in new data drift away from patterns learned in training data. Second is AI’s tremendous complexity. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 364
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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

dbt Cloud is a hosted service that helps data teams productionize dbt deployments. You’re now ready to sign in to both Aurora MySQL cluster and Amazon Redshift Serverless data warehouse and run some basic commands to test them. Choose Test Connection. Choose Next if the test succeeded. Choose Create.