Big data analytics belongs to a dimension of cognitive computing. Cognitive computing is broader and more technologically advanced than big data.

Cognitive computing and big data analytics have similar technologies such as large amounts of data, MachineLearning, industry models, etc. big data analytics emphasizes more on gaining insights and making predictions through those insights. In addition, traditional big data analytics will use modeling or machine learning methods, but rely more on experts to provide.

For cognitive computing, insights and predictions are just one of those things. However, cognitive computing places more emphasis on natural interactions between humans and machines, dimensions that are not emphasized by traditional big data analytics.

In addition, cognitive computing is currently growing rapidly in the field of deep learning (DeepLearning), its learning method is different from the traditional method, more based on a large amount of data through self-learning to get such a model, without the need for a lot of human intervention, which in terms of learning methods and big data analysis has many different places.

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