Remove 2012 Remove Optimization Remove Testing
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

Testing and development – You can use snapshots to create copies of your data for testing or development purposes. Migration – Manual snapshots can be useful when you want to migrate data from one domain to another. You can create a snapshot of the source domain and then restore it on the target domain.

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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

With its scalability, reliability, and ease of use, Amazon OpenSearch Service helps businesses optimize data-driven decisions and improve operational efficiency. It allows organizations to secure data, perform searches, analyze logs, monitor applications in real time, and explore interactive log analytics. Leave the settings as default.

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Deliver Amazon CloudWatch logs to Amazon OpenSearch Serverless

AWS Big Data

Select Custom trust policy and paste the following policy into the editor: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Principal":{ "Service":"osis-pipelines.amazonaws.com" }, "Action":"sts:AssumeRole" } ] } Choose Next, and then search for and select the collection-pipeline-policy you just created.

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Introducing Amazon MSK as a source for Amazon OpenSearch Ingestion

AWS Big Data

For optimal performance, partitions should be distributed across many compute units for parallel processing. However, when the number of partitions is greater than the number of consumers, Amazon MSK will host multiple partitions on every consumer.

Testing 117
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Structural Evolutions in Data

O'Reilly on Data

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. Those algorithms packaged with scikit-learn?

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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 129