An IoT analytics solution addressing real-life issues with SCADA data from a network of 600 Waste Water Treatment Plants and 100s of Pumping Stations. An end-to-end solution with Azure Data Warehouse, Azure Data Factory, Azure Analysis Services and PowerBI
Discover the Microsoft technologies that enable end-to-end data science, including SQL Server and Azure PaaS Services, along with practical scenarios and demos.
This talk takes a look at Cloud Computing – what it is, the types of Cloud available and their advantages and disadvantages along with what Microsoft Azure has to offer.
This session covers the more advanced aspects of development for Azure SQL Data Warehouse. Areas such as data movement, workload concurrency and resource management will all be covered during this intense 60 minute session.
Azure Data Factory and SSIS are both data movement tools, but built for different purposes. In this session you will learn pros and cons of using each technology, and best practices of using each in real world scenarios.
Let's talk about how you can get the most out of Azure DocumentDB. In this session we will dive deep in to the mechanics of DocumentDB and explain the various levers available to tune performance.
Join me for an overview of how Azure SQL DB customers can simply secure their data using our most advanced features to-date including Always Encrypted, Transparent Data Encryption, Dynamic Data Masking and SQL Threat Detection.
Virtualization has had a major impact on computing. While data professionals have adjusted to this for database servers, many BI workloads have moved there as well. Learn about the impact of virtualization on BI.
In this session, we are going to look at a typical machine learning process and how to apply it to real world data. We are going to use Azure Machine Learning to transform data and ideas into models that are production ready in minutes.
In this talk, you will get an overview on what to think about when storing data in a document database.
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