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Introduction

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In today's highly data-driven business and organizations the extraction, transform and Load (ETL) process is essential to combine data from diverse sources into a structured solid, reliable, and able to analyze data sets. But the full potential of ETL is only achieved when all data that is processed is scrutinized. The process of validation ensures accuracy, integrity, reliability, security, and accuracy and is an essential aspect of every business decision. As companies embrace the most recent cloud-based analytics and cloud computing technology and cloud computing machine-learning, and AI the significance of ensuring validation of data grows and affects the effectiveness of data used in making a decision. This is one of the most essential topics that are taught in all the courses in Data Science at Pune because being an ETL is at the heart of the modern data platforms.

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