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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. What Is Data Pipeline Architecture?

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What is Data Ingestion? Types, Frameworks, Tools, Use Cases

Knowledge Hut

It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., Organizations build data ingestion architecture to make sense of the complexity in the data and derive more value from it. To learn more about it, you can check out this bootcamp for Data Engineers. What is Data Ingestion?

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. This big data project discusses IoT architecture with a sample use case.