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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ümit Demirbaga | - |
| dc.date.accessioned | 2024-12-09T07:50:48Z | - |
| dc.date.available | 2024-12-09T07:50:48Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11788 | - |
| dc.description.abstract | This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Big data | Data mining | vi |
| dc.title | Big data analytics : theory, techniques, platforms, and applications | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
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