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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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

However, these databases tend to sacrifice support for complex SQL queries at any scale. This query optimization is something that all SQL databases excel at and do automatically. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge.

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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

That meant a system that was sufficiently nimble and powerful to execute fast SQL queries on raw data, essentially performing any needed transformations as part of the query step, and not as part of a complex data pipeline. The final output would be written to a serving system like Apache Cassandra, Elasticsearch or MongoDB.

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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.