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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

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Writing The Book That Offers A Single Reference For The Fundamentals Of Data Engineering

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Databases could just buffer, ingest and query data on a regular schedule. Finally, you could always plan ahead for bursty traffic and overprovision your database clusters and pipelines. Many databases claim to deliver scalability on demand so that you can avoid expensive overprovisioning and keep your data-driven operations humming.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data. The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data.