Apache Kafka, Clustering, Data Quality and Hadoop

The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

Mlearning.ai

MAY 16, 2023

The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub. The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards. Here’s a high-level overview of how the MapReduce pattern works: A.

Data Engineering

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How data engineers tame Big Data?

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data Ensuring data quality and integrity Data quality and integrity are essential for accurate data analysis. Data engineers are responsible for ensuring that the data collected is accurate, consistent, and reliable.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

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The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

How data engineers tame Big Data?

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