Remove Data Process Remove Lambda Architecture Remove MongoDB Remove SQL
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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. Instead, these database makers have offloaded complex analytics onto application code and their developers, who have neither the skills nor the time to constantly update queries as data sets evolve. It provides instant views of the real-time data.

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

Rockset

In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. To mitigate the delays inherent in MapReduce, the Lambda architecture was conceived to supplement batch results from a MapReduce system with a real-time stream of updates.

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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. Google BigQuery receives the structured data from workers. Machine Learning web service to host forecasting code.