Big Data processing is not only limited to data search, but is also strongly connected with use of text analysis or image processing algorithms, where machine learning models can be applied. Azure Data Lake Analytics solves many of the problems related to the efficiency and scalability of the data analysis process, but also gives the possibility of processing Peta bytes of data using U-SQL (which is a combination of declarative and procedural paradigms) and existing, well known libraries written in .NET, Python or R languages.
This full-of-demos session will show you how you can use .NET, Python or R to create scalable Big Data analysis solution.
