Remove Java Remove Lambda Architecture Remove MySQL
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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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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. Finally, the data is published and visualized on a Java-based custom Dashboard. The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data.