The New Global Trends in Big Data
summary
Overview of global Big Data trends: which industries will gain most from data insights, how technologies are converging, common architectures in use, rising user expectations, and emerging disruptive tools. Covers practical lessons learned and business-focused offerings including Big Data analytics, cognitive services, chatbots and APIs.
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chapters (26)
- 0:00Introduction
- 2:14Presentation
- 2:32Cognitive Services
- 3:07Supply Chain
- 4:09Challenges
- 5:06Telecom
- 7:27Prediction and Classification Algorithms
- 8:07Internet Scanning
- 10:10Netflix Scanning
- 15:12Analytical Data Prediction
- 16:32Deep Analytics Projects
- 18:43Self-Service Platforms and Analytics
- 19:31Data Preparation Tools
- 20:25Self-Service Tools
- 24:24Discarded Data
- 25:24Hard to Find Radar Information
- 25:48The Data Lake
- 27:19Data Security
- 28:09Spark as an Alternative
- 29:16Data Engineer
- 33:06Executive Policy Layer
- 34:08The Importance of Analytics
- 40:09Partnership with Vendor
- 41:55Data Senses That Don’t Work in a Data Center
- 47:32How to Reconcile Traditional BI with Innovation?
- 49:00The Coexistence of BI and Analytics
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