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Material Detail

Big Data Analytics – Scale, Pipelines, and Real-World Use Cases | Prep4Uni.online

Big Data Analytics – Scale, Pipelines, and Real-World Use Cases | Prep4Uni.online

An accessible guide to big data analytics and what changes when data becomes large, fast, or diverse. Introduces core ideas such as distributed storage and processing, data pipelines, batch vs. streaming analytics, and practical trade-offs in cost, latency, and reliability. Helps learners connect “big data” concepts to real business, science, and engineering applications....

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Keywords:
data lakes, cloud data, streaming analytics, data pipelines, data platforms, batch processing, big data analytics, data engineering, ETL, distributed computing, scalability
Disciplines:
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More about this material

Material Type:
Reference Material
Date Added to MERLOT:
December 18, 2025
Date Modified in MERLOT:
December 18, 2025
Author:
 
Submitter:
Jacob Gan
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Yes
Creative Commons:
Creative Commons License
This work is licensed under a CC0 1.0 Universal

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