2 Graph data engineering
- The main challenges related to big data as input to machine learning
- How to handle big data analysis with graph models and graph databases
- The shape and features of a graph database
Chapter 1 highlighted the key role played by data in a machine learning project. As we saw, training the learning algorithm on a larger quantity of high-quality data increases the accuracy of the model more than fine tuning or replacing the algorithm itself. In an interview about big data [Coyle, 2016], Greg Linden, who invented the now widely used item-to-item collaborative filtering algorithm for Amazon, replied:
Big data is why Amazon’s recommendations work so well. Big data is what tunes search and helps us find what we need. Big data ...
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