Summary
In this chapter, we browsed the vast data landscape of Azure. We split the traditional and modern data technologies to help you understand the possible solutions should you be on the verge of a transition from regular BI to advanced analytics, or from ELT to ETL.
Azure shines in the big data space, and that may be the area where only public cloud providers can make a real difference compared to on-premises systems. We showed you how Azure has both a native big data offering as well as solutions that are open source in origin. Many services are intermingled, but the trend is to let ASA be at the center of everything.
Lastly, we worked on a concrete hands-on exercise to give you a glimpse of what a modern solution might look like. We completed an end-to-end scenario, from data ingestion and real-time queries to surfacing the results on a real-time Power BI dashboard. You should now have a better understanding of when to use what, and how to get started with top-notch data...
