Big Data Enterprisy Analytics App and Ruby
summary
Shows how Ruby was used to build a scalable enterprise analytics application that stores and processes large amounts of structured and unstructured data while meeting internal technical standards and regulatory constraints. Describes an implementation that uses OLAP cubes to support data slicing and dicing for analytic queries.
AI-written summary · about
chapters (16)
- 0:00Intro
- 2:24Ruby in The Enterprise
- 4:40Design Philosophy IV
- 6:51Open Source
- 7:44Data Architecture - Step III
- 9:31DATA FLOW MAPPING
- 11:22Chart Types
- 13:27Extending Charting Libraries
- 15:26Configurable Charts
- 17:22MSAS XMLA INTERFACE
- 18:29Ruby + OLAP CUBES
- 19:38RUBY + SSAS XMLA Interface
- 21:30SOAP request : listing cubes
- 23:20SOAP request: Execute MDX
- 25:35Analytics and UX 1
- 27:24Build for ALL
related talks
30mBusiness Intelligence with Ruby
34mData Analytics Service Company and Its Ruby Usage
36mData Management with Ruby
45mRuby for the soul of Big Data nerds
39mData Warehouses and Multi-Dimensional Data Analysis
30mLightweight Business Intelligence
58mUnderstanding Big Data for Software Engineers
34mBuilding Data Driven Products with Ruby