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The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

Data Migration : This use case focuses on verifying data accuracy during migration projects, such as cloud transitions, to ensure that migrated data matches the legacy data regarding output and functionality. Have all the source files/data arrived on time? Is the source data of expected quality?

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Improving Meta’s global maps

Engineering at Meta

This new data schema was born partly out of our cartographic tiling logic, and it includes everything necessary to make a map of the world. Transportation buildings, such as airport terminals, parking garages, and metro stations, have a bluish tint to correspond with our new iconography layer.

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What is the Software Development Environment (SDE)?

Knowledge Hut

This workflow imbalance allows unencumbered engineering while protecting data integrity. Mirror production data schemas: While masking sensitive information, reflecting production data shapes, interfaces and dependencies reduces surprises when changes reach customers. This improves security and accountability.

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Power BI System Requirements Specification of 2023

Knowledge Hut

While the numbers are impressive (and a little intimidating), what would we do with the raw data without context? The tool will sort and aggregate these raw data and transport them into actionable, intelligent insights. Here’s why you need to understand Power BI requirements.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

You can produce code, discover the data schema, and modify it. Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. AWS Glue automates several processes as well.

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The Rise of Streaming Data and the Modern Real-Time Data Stack

Rockset

As soon as you drop off a package for shipping, a sensor in the smart dropbox feeds the data to the shipping company, which detects which driver is closest and re-routes them for immediate pickup. Every day, millions of job tickets are created and tracked in real time across air, freight rail, maritime transport, and truck transport.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

Data consistency is ensured through uniform definitions and governance requirements across the organization, and a comprehensive communication layer allows other teams to discover the data they need. Marketing teams should have easy access to the analytical data they need for campaigns.