Remove 2016 Remove Data Governance Remove ETL
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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.” The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown.

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7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

DagsHub

The project was created in 2014 by Airbnb and has been developed by the Apache Software Foundation since 2016. Flexibility: Its use cases are wider than just machine learning; for example, we can use it to set up ETL pipelines. This also means that it comes with a large community and comprehensive documentation.