In modern Cloud Data Analytics Architecture, there is a need for the optimization of platform solution designs with the highest level of intelligence through smart machine learning algorithms, building predictive models using advanced DevOps functions with conceptualizing, wrangling, and modelling, and finally implementation of an advanced real-time data streaming pipeline. In this chapter, you will learn how to architect an optimized and intelligent advanced streaming data platform with the Azure Data Analytics pipeline by leveraging smart algorithms integrated with Stream Analytics:
- Integrating intelligent Azure machine learning algorithms with Stream Analytics functions
- Developing a data streaming application by implementing a Stream Analytics job code structure with .NET management SDK
Real-time streaming data has the benefits of the generation of complex...