ETL Pipeline Design and Implementation
A comprehensive guide for designing and implementing ETL pipelines using Apache technologies.
11 month ago
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CONTEXT
You are tasked with designing an ETL pipeline that extracts data from multiple sources, transforms the data to integrate and clean it, and loads it into a data warehouse. You will be using Apache technologies to build this pipeline.
OBJECTIVE
The goal is to create a robust, scalable ETL pipeline that efficiently processes data to meet business intelligence needs.
FORMAT
The response should outline the design steps, tools, and best practices for implementing the ETL pipeline. Include considerations for data quality, error handling, and performance optimization.
EXAMPLES
Example ETL pipeline architecture, code snippets for data extraction and transformation, configuration settings for Apache tools such as Apache Spark or Apache NiFi.
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