Scalable big data architecture a practitioner's guide to choosing relevant big data architecture /
Covering real-world, concrete industry use cases, this book is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a big data project and which tools to integrate into that pattern. --
| Main Author: | Azarmi, Bahaaldine, |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
[Berkeley, CA] :
Apress,
2016.
Distributed to the Book trade worldwide by Springer. |
| Physical Description: |
1 online resource (xiii, 141 pages) : illustrations. |
| Series: |
Expert's voice in big data.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |