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http://hdl.handle.net/123456789/25544Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Javeria Iqbal | - |
| dc.date.accessioned | 2023-05-16T07:34:04Z | - |
| dc.date.available | 2023-05-16T07:34:04Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/25544 | - |
| dc.description.abstract | For my final year project, I have aimed to create an “ETL pipeline for retail store” for analysis and reporting on big data. In this regard it is a design and aura that interact with technology and creativity to deliver analysis which extract data from store and desire useful information which makes help in decision making. Daily data get pushed into pipeline, for cleaning, processing and business analysis. A mechanism under pillars of extraction, transformation and load tries to unlock insights. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Quaid I Azam university Islamabad | en_US |
| dc.subject | Information Technology | en_US |
| dc.title | ETL Pipeline for Retail Store | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | M.Sc | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IT 490.pdf | IT 490 | 953.81 kB | Adobe PDF | View/Open |
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