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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

The TICKIT dataset records sales activities on the fictional TICKIT website, where users can purchase and sell tickets online for different types of events such as sports games, shows, and concerts. We use the allevents_pipe and venue_pipe files from the TICKIT dataset to demonstrate this capability.

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Oracle Wants to Be the Database for AI

David Menninger's Analyst Perspectives

Oracle recently hosted its annual Database Analyst Summit, sharing the vision and strategy for its data platform. While much of the event was under non-disclosure as product plans and launch schedules are finalized, it still served as a useful recap of the broad portfolio of data platform capabilities that Oracle has to offer.

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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. By using dbt Cloud for data transformation, data teams can focus on writing business rules to drive insights from their transaction data to respond effectively to critical, time sensitive events. or a later version) database.

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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Hosting Costs : Even if an organization wants to host one of these large generic models in their own data centers, they are often limited to the compute resources available for hosting these models. Build and test training and inference prompts. The Need for Fine Tuning Fine tuning solves these issues.

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US Air Force seeks generative AI test pilots

CIO Business Intelligence

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

The proposed solution involves creating a custom subscription workflow that uses the event-driven architecture of Amazon DataZone. Amazon DataZone keeps you informed of key activities (events) within your data portal, such as subscription requests, updates, comments, and system events.

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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),

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