Business Intelligence, Data Lake, Kafka and Lambda Architecture

Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

MARCH 14, 2023

Data from these sources are often ingested into a cloud-based data warehouse or data lake , where they can then be mined for information and insights. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley. Some data teams will leverage micro-batch strategies for time sensitive use cases.

Data Ingestion

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Finally, the data is published and visualized on a Java-based custom Dashboard. This is called Hot Path.

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Data Ingestion: 7 Challenges and 4 Best Practices

20+ Data Engineering Projects for Beginners with Source Code

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