Congratulations, you’ve managed to get through previous sections of our reference architecture model unscarred! The most tedious and cumbersome part is behind us now. However, it’s no problem if you're just getting started with part 3 of our blog series! Simply click on the links to part 1 and part 2, where we take a closer look on ingestions and data lakes as well as the entire reference architecture.
Architecture recommendations and data-processing techniques with Azure Synapse Analytics. This article of ours provides two architecture recommendations, besides showing how they ca be implemented an how data are provided for visualization.
I had just arrived at b.telligent with a PhD in pure mathematics and a mixed bag of programming and IT skills in my pocket. My goal: to become a certified Azure Architect within 4 months. The learning pathway: a professional development program from Microsoft and a lot of support from b.telligent.
I am not writing this blog post in a quiet minute in our b.telligent offices, but live from the Spark Summit in Brussels. For data scientists, it offers an enormous scope of machine learning procedures, both traditional for static data sets, and for streaming data in real-time. All those with practical experiences in the Python library sklearn will immediately feel at home, as this served as an example.
