Big Data DevOps ETL 
AI News
AUGUST 29, 2023
The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. Photo by Larisa Birta on Unsplash Want to learn more about AI and big data from industry leaders?
AWS Machine Learning Blog
FEBRUARY 2, 2024
The embeddings are captured in Amazon Simple Storage Service (Amazon S3) via Amazon Kinesis Data Firehose , and we run a combination of AWS Glue extract, transform, and load (ETL) jobs and Jupyter notebooks to perform the embedding analysis. Set the parameters for the ETL job as follows and run the job: Set --job_type to BASELINE.
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AWS Machine Learning Blog
MARCH 5, 2025
About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements. He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML.
ODSC - Open Data Science
OCTOBER 9, 2024
AI for DevOps and CI/CD: Streamlining the Pipeline Continuous Integration and Continuous Delivery (CI/CD) are essential components of modern software development, and AI is now helping to optimize this process. In the world of DevOps, AI can help monitor infrastructure, analyze logs, and detect performance bottlenecks in real-time.
Marktechpost
JULY 17, 2023
It can also eliminate data silos by providing a single location for structured, semi-structured, and unstructured data. DataRobot All users, including data science and analytics professionals, IT and DevOps teams, executives, and information workers, can collaborate using DataRobot’s AI Cloud Platform.
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