Big data : principles and best practices of scalable real-time data systems / Nathan Marz with James Warren.
Material type:
Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|
![]() |
Female Library | QA76.9.D3 .M374 2015 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000204053 | |
![]() |
Female Library | QA76.9.D3 .M374 2015 (Browse shelf (Opens below)) | 2 | Available | STACKS | 51952000339939 | |
![]() |
Main Library | QA76.9.D3 .M374 2015 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000204060 | |
![]() |
Main Library | QA76.9.D3 .M374 2015 (Browse shelf (Opens below)) | 2 | Available | STACKS | 51952000339946 |
Includes index.
A new paradigm for big data -- Data model for big data -- Data model for big data : illustration -- Data storage on the batch layer -- Data storage on the batch layer : illustration -- Batch layer -- Batch layer : illustration -- An example batch layer : architecture and algorithms -- An example batch layer : implementation -- Serving layer -- Serving layer : illustration -- Realtime views -- Realtime views : illustration -- Queuing and stream processing -- Queuing and stream processing : illustration -- Micro-batch stream processing -- Micro-batch stream processing : illustration -- Lambda Architecture in depth.
Teaches readers how to build big data systems using Lambda Architecture, an architecture designed specifically to capture and analyze web-scale data.
1 2
There are no comments on this title.