Big data processing on software and tools
| dc.contributor.author | Sarnai Tugsbayar | |
| dc.contributor.supervisor | Myagmarjav Bold | |
| dc.contributor.supervisor | Battulga Nasanshargal | |
| dc.date.accessioned | 2024-11-06T11:00:43Z | |
| dc.date.available | 2024-11-06T11:00:43Z | |
| dc.date.issued | 2024-05-27 | |
| dc.description.abstract | This bachelor thesis explores the broad field of processing large volumes of big data, focusing on understanding what big data is, the challenges it poses, its benefits, and how it is used across different areas. It delves into the importance of handling data effectively and the necessary tools and software for this task. Real-life examples are examined to show how these tools help solve complex problems and drive innovation in various industries. Additionally, the thesis briefly investigates big data in Mongolia, looking at the types of data commonly found in Mongolian industries and suggesting ways to use the right software and tools to gain useful insights. By exploring how big data processing applies to the Mongolian industry, the study aims to highlight the significance of utilizing large datasets to stimulate growth and innovation in the modern ever-changing digital world. | |
| dc.identifier.uri | https://gmitlibrary.net/handle/123456789/35 | |
| dc.language.iso | en | |
| dc.publisher | German Mongolian Institute for Resouce and Technology | |
| dc.subject | big data | |
| dc.subject | data processing | |
| dc.subject | software | |
| dc.subject | tools | |
| dc.subject | challenges | |
| dc.subject | benefits | |
| dc.subject | applications | |
| dc.subject | Mongolia | |
| dc.title | Big data processing on software and tools | |
| dc.type | Thesis |