Big data
Material type: TextPublication details: McGraw Hill, Chennai : ©2020Edition: 2nd edDescription: xviii, 273 p. : ill. ; 24 cmISBN:- 9789353167950
- 005.7 MAH-B
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 005.7 MAH-B (Browse shelf(Opens below)) | Available | 012447 |
Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
005.7 KEL-D Data science | 005.7 KEP-M Mathematics of big data : | 005.7 KLE-D Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems | 005.7 MAH-B Big data | 005.7 MAN-I Introduction to information retrieval | 005.7 MAN-I Introduction to information retrieval | 005.7 MAN-I Introduction to information retrieval |
This book includes an index.
1. Wholeness of big data 2. Big data sources and applications 3. Big data architecture 4. Distributed computing using Hadoop 5. Parallel processing with map reduce 6. NoSQL databases 7. Stream processing with spark 8. Data ingest with Kafka 9. Cloud computing 10. Big data programming languages 11. Web log analyzer application development 12. Data modelling primer 13. Data analytics primer 14. Artificial intelligence primer 15. Data science careers
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