Apache Kafka, Database, ETL and Hadoop

The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

Mlearning.ai

MAY 16, 2023

ETL Design Pattern The ETL (Extract, Transform, Load) design pattern is a commonly used pattern in data engineering. It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database.

Data Engineering

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How data engineers tame Big Data?

Dataconomy

FEBRUARY 23, 2023

This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently. Collecting, storing, and processing large datasets Data engineers are also responsible for collecting, storing, and processing large volumes of data.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Data Science Current

The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

How data engineers tame Big Data?

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