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.
Discover the ins and outs of some of the newest capabilities of our favorite data language. From JSON to COMPRESS/DECOMPRESS, from SESSION_CONTEXT() to DATEDIFF_BIG(), and new query hints.
The Internet of Things starts with your things. It's a great time to take a look at game changing technologies you can use today to make your IoT ideas stand out from the rest using Microsoft Azure.
This session will examine how to successfully design a modern data architecture on the Microsoft Azure cloud platform. Focusing on design tenants for efficient, scalable and resilient data processing
SQL Server 2016 introduces the Query Store. The Query Store will change how you tune queries. Come to this session to learn everything you'll need.
Data Warehouses are changing. This session will run through the architecture of the modern warehouse, from structured/unstructured Azure Data Lakes to platform as a service Azure Data Warehouse and bringing the two together.
In this talk, I will share my experience in creating and running Azure SQL Database, a large cloud scale service powered by SQL Server technologies. This presentation will provide an outline of the scenarios and requirements for a database service.
Once you've decided to move to Azure with any of your databases, you're going to need to know how they're performing, this session shows you.
While knowledge of SQL Server troubleshooting still applies to the Windows Azure SQL Database service, there are new and different features, methods, and tools that are unique to cloud database computing. Come learn about these new techniques.
When your boss sends you to a conference, she expects you to learn something useful. Like all of the buzzwords she has to explain to her boss. Make it worth her while (and budget) and bring back the info she craves.
Microsoft Codename "Data Explorer" provides a new way to organize, manage, enrich, share and gain new insights from your data.
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