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

Flipboard

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. The solution integrates data in three tiers.

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

ODSC - Open Data Science

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Learn more about the AI Insight Talks below.

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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. The post What is ETL?

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