AWS Machine Learning Blog

SEPTEMBER 3, 2024

Scalability and performance – The EMR Serverless integration automatically scales the compute resources up or down based on your workload’s demands, making sure you always have the necessary processing power to handle your big data tasks. This flexibility helps optimize performance and minimize the risk of bottlenecks or resource constraints.

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AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

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Flipboard

MARCH 7, 2023

You can manage app images via the SageMaker console, the AWS SDK for Python (Boto3), and the AWS Command Line Interface (AWS CLI). The Studio Image Build CLI lets you build SageMaker-compatible Docker images directly from your Studio environments by using AWS CodeBuild. Environments without internet access.

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Python AWS ML ML 123

AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

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AWS ML ML Data Scientist 52

Data Science Blog

SEPTEMBER 3, 2024

Process Mining Tools, die als pure Process Mining Software gestartet sind Hierzu gehört Celonis, das drei-köpfige und sehr geschäftstüchtige Gründer-Team, das ich im Jahr 2012 persönlich kennenlernen durfte. Reduzierte Personalkosten , sind oft dann gegeben, wenn interne Data Engineers verfügbar sind, die die Datenmodelle intern entwickeln.

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AWS Machine Learning Blog

OCTOBER 24, 2024

An AI technique called embedding language models converts this external data into numerical representations and stores it in a vector database. RAG introduces additional data engineering requirements: Scalable retrieval indexes must ingest massive text corpora covering requisite knowledge domains.

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AWS Machine Learning Blog

OCTOBER 28, 2024

The workflow includes the following steps: Within the SageMaker Canvas interface, the user composes a SQL query to run against the GCP BigQuery data warehouse. Athena uses the Athena Google BigQuery connector , which uses a pre-built AWS Lambda function to enable Athena federated query capabilities.

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