Taylor-fit Big Data Platform
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The document discusses Taylor-fit's Big Data platform which aims to simplify big data by providing a customizable platform with distributed data mining algorithms, recommendation engines, prediction engines, and real-time analytics dashboards. It is designed to be incredibly powerful yet easy to use and fast and scalable by building on open-source software.
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Taylor-fit Big Data Platform
- 1. Taylor-fit Big Data Platform Viet-Trung Tran Tuesday 20 May 14
- 2. Big Data in eCommerce Personalized offers Dynamic pricing Customer service Managing fraud Predictive analytics Tuesday 20 May 14
- 3. Big Data: What is it? Tuesday 20 May 14
- 4. Big Data Stack Data analytics & visualization Data processing frameworks (Streaming, MapReduce, BSP model) Data management systems BlobSeer Tuesday 20 May 14
- 5. Big Data Landscape Tuesday 20 May 14
- 6. Data scientist skills Tuesday 20 May 14
- 7. Big Data is not easy Too many software, distribution, vendors Distributed infrastructure Lack of data scientist skills Tuesday 20 May 14
- 8. Taylor-fit Big Data Platform Incredibly powerful & easy to use Simplified in/out API Customizable distributed data mining algorithms on demand Recommendation engine Prediction engine etc. Fast & Scalable Build on open-source softwares Tuesday 20 May 14
- 9. What can we offer? E.g Recommendation engine People buy this will buy that Similar items Product categorization Predictive engine Supply chain management Pricing management Predictive search Realtime Analytics Dashboard Sale performance Buyers distribution Tuesday 20 May 14
- 10. Big Thanks! Q&A? Tuesday 20 May 14
- 11. Tuesday 20 May 14