Cargando…
Real-time analytics: techniques to analyze and visualize streaming data
Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effectiv...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Wiley
2014
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1735442 |
| _version_ | 1780941450747314176 |
|---|---|
| author | Ellis, Byron |
| author_facet | Ellis, Byron |
| author_sort | Ellis, Byron |
| collection | CERN |
| description | Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, |
| id | cern-1735442 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Wiley |
| record_format | invenio |
| spelling | cern-17354422021-04-21T20:57:28Zhttp://cds.cern.ch/record/1735442engEllis, ByronReal-time analytics: techniques to analyze and visualize streaming dataComputing and ComputersConstruct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development,Wileyoai:cds.cern.ch:17354422014 |
| spellingShingle | Computing and Computers Ellis, Byron Real-time analytics: techniques to analyze and visualize streaming data |
| title | Real-time analytics: techniques to analyze and visualize streaming data |
| title_full | Real-time analytics: techniques to analyze and visualize streaming data |
| title_fullStr | Real-time analytics: techniques to analyze and visualize streaming data |
| title_full_unstemmed | Real-time analytics: techniques to analyze and visualize streaming data |
| title_short | Real-time analytics: techniques to analyze and visualize streaming data |
| title_sort | real-time analytics: techniques to analyze and visualize streaming data |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/1735442 |
| work_keys_str_mv | AT ellisbyron realtimeanalyticstechniquestoanalyzeandvisualizestreamingdata |