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Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

In this post, we explain how to integrate different AWS services to provide an end-to-end solution that includes data extraction, management, and governance. The solution integrates data in three tiers. Then we move to the next stage of accessing the actual data extracted from the raw unstructured data.

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12 AI Insight Talks to Help Improve Your Company’s AI Game at ODSC West

ODSC - Open Data Science

Focusing on multiple myeloma (MM) clinical trials, SEETrials showcases the potential of Generative AI to streamline data extraction, enabling timely, precise analysis essential for effective clinical decision-making. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

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Unfolding the Details of Hive in Hadoop

Pickl AI

Utilizing Hive in Hadoop: Use Cases and Benefits Hive is widely used in big data analytics for various use cases, including: Data Exploration Hive allows users to interactively explore and analyze large datasets stored in Hadoop, enabling data discovery and gaining valuable insights.

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What is ETL? Top ETL Tools

Marktechpost

The ETL process transforms structured or unstructured data from numerous sources into a simple format for your employees to understand and use regularly. Data extraction Data that has been extracted has been retrieved from one or more sources, both structured and unstructured.

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