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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

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5 ways to maximize your cloud investment

CIO Business Intelligence

But many CIOs, worried about going over budget, pre-book too much capacity. While having that cushion avoids unplanned budget issues down the road, many CIOs waste money on substantial amounts of pre-booked capacity they never use, McKee says. Usage estimates need to be more accurate, and cushions should be smaller, he says.

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Alation’s Role in the Sentient Enterprise

Alation

Imagine a new type of business, one in which the fabric of data is so woven throughout the enterprise that it becomes almost a living, breathing entity that one day may even be able to make the right decisions for you. We have a new demo of how Alation automatically catalogs the data lake using ThinkBig’s Kylo initiative.

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PODCAST: Making AI Real – Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities

bridgei2i

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

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Data Governance for Dummies: Your Questions, Answered

Alation

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you differentiate between governance of raw data and enhanced data (information)? Where do you govern?