Remove Apache Kafka Remove Data Lakes Remove Definition
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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.

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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. Common options include: Relational Databases: Structured storage supporting ACID transactions, suitable for structured data.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. All this raw data goes into your persistent stage. Both persistent staging and data lakes involve storing large amounts of raw data.