In today’s digitization scenario, drivers such as the Internet of Things (IoT), cloud computing and big data lead to many initiatives such as Industry 4.0 or smart manufacturing. Large mining organizations are witnessing the emergence of big data not only through IoT but also through legacy systems and internal processes. Addressing big data is a challenging and time-demanding task that requires an extensive computational infrastructure to ensure successful data processing and analysis. Though most organizations have adopted a wide variety of powerful analytics, visualization tools, and storage options, efficient data usage, and sharing is taxing and may lead to data isolation. The thesis proposes, develops and validates a data catalog system called CATALYST: A Cloud-Based Data Catalog System for a Swedish Mining Company to address the data isolation, access and sharing challenges faced in a large organization. The prototype implementation and the evaluation of our system show that the average query time was reduced from 59.813 milliseconds to 11.009 milliseconds, as well as the average data count was reduced from 12,691 to 5721.7, which is almost less than 50 per cent, and solving data isolation challenges within Boliden, a large Swedish mining company. Finally, Boliden has confirmed the value of CATALYST in general and finds it beneficial for data management within their organization
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-76129 |
| Date | January 2019 |
| Creators | Swain, Adyasha |
| Publisher | Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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