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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes. To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination.

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ETL vs. ELT and the Evolution of Data Integration Techniques

Ascend.io

How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination. In the 1980s, companies started to amass big amounts of transactional data. This causes two issues.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.