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1
Introduction
2
Why are there so many options
3
Platform as a Service
4
Python
5
ML Studio
6
Integration Services
7
HDInsight
8
Datalink
9
Data Breach
10
Why Azure
11
Wrap Up
Description:
Explore a high-level overview of Azure Data Services (PaaS) options in this engaging 39-minute presentation. Gain insights into when to use various services, their scalability, and integration capabilities with R and Python. Demystify the subject through a comprehensive exploration of topics including Platform as a Service, Python, ML Studio, Integration Services, HDInsight, Datalink, and data breach considerations. Discover the reasons behind the multitude of options available and understand why Azure is a preferred choice for data services. Conclude with a wrap-up that solidifies your understanding of Azure's data ecosystem.

Azure Data Services at 50,000 Feet

Bryan Cafferky
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