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Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.