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Open Data Lakes, Safeguarding Images From AI, Free Data Viz Tools, and 50% Off ODSC East

ODSC - Open Data Science

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake.

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The Importance of Domain-Specific LLMs, Jobs in Prompt Engineering, and Our Data Primer Series

ODSC - Open Data Science

Accelerating Decisions with Third-Party Data in Financial Services On-Demand Webinar Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

Many organizations store their data in structured formats within data warehouses and data lakes. Amazon Bedrock Knowledge Bases offers a feature that lets you connect your RAG workflow to structured data stores. In her free time, she likes to go for long runs along the beach.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

The dataset Our structured dataset can reside in a SQL database, data lake, or data warehouse as long as we have support for SQL. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI.

SQL 168
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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage. Key features and benefits of Azure for Data Science include: Scalability: Easily scale resources up or down based on demand, ideal for handling large datasets and complex computations.

Azure 52