Turn data and analytics into competitive advantage
The quest for big data data is, in essence, the push for better analytics on a broader spectrum of data. Real value from big data can only emerge from a consumable analytics platform that saves you from having to build applications from scratch — one that effectively flattens the time-to-insight curve. Big data has volume, variety, velocity, and veracity:
Explore big data architecture and patterns
Classify the big data problem by data format, required analysis, data sources, and so on.
Questions uncover clues aabout whether a big data solution is appropriate.
The logical layers outline the critical components of a big data solution.
Patterns for the most common and recurring big data problems and solutions.
Big data solutions for scenarios based on business problems.
Explore the advanced analytics platform
Learn about the key characteristics of the platforms and the underlying components.
Explore multiple, successful big data use cases.
Learn how to use design patterns to analyze unstructured text in the context of big data.
How to create the mobility profile pattern by analyzing location data.