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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.

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Apache Spark Use Cases & Applications

Knowledge Hut

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. It can solve problems related to batch processing, near real-time processing, can be used to apply lambda architecture, can be used for Structured streaming.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data. You will set up MySQL for table creation and migrate data from RDBMS to Hive warehouse to arrive at the solution.

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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.