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Analyzing the history of Tableau innovation

Tableau

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. April 2018), which focused on users who do understand joins and curating federated data sources.

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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning Blog

Training steps To run the training, we use SLURM managed multi-node Amazon Elastic Compute Cloud ( Amazon EC2 ) Trn1 cluster, with each node containing a trn1.32xl instance. Next, we also evaluate the loss trajectory of the model training on AWS Trainium and compare it with the corresponding run on a P4d (Nvidia A100 GPU cores) cluster.

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Develop and train large models cost-efficiently with Metaflow and AWS Trainium

AWS Machine Learning Blog

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. Observability Metaflow comes with a convenient UI, which you can customize to observe metrics and data that matter to your use cases in real time.

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Analyzing the history of Tableau innovation

Tableau

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. April 2018), which focused on users who do understand joins and curating federated data sources.

Tableau 98
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Why do people still use VBA?

Hacker News

In 2019 Lotus Notes was acquired by HCL, and since then longevity of support has been wavering. As a result, since 2019, technology teams have been trying to migrate many of our systems to new technologies. The data from D10 was never actually transferred to D11, meaning the business is now using 2 systems instead of 1.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

These models support mapping different data types like text, images, audio, and video into the same vector space to enable multi-modal queries and analysis. data # Assing local directory path to a python variable local_data_path = ". . This bucket will be used as source for vector databases and uploading source files.

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