Data Amp 2017
39 videos • 6,400 views • by Microsoft Cloud
1
Microsoft Data Amp 2017 | Keynotes
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2
Microsoft Data Amp 2017 | Scott Guthrie Keynote
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3
Microsoft Data Amp 2017 | Joseph Sirosh Keynote
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4
Unleash your data from non-Microsoft data platforms
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5
Top reasons to run SQL Server on Azure VM
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6
Modernize your database infrastructure with DBaaS in Azure
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7
SQL Server 2017: What's New in the Database Engine?
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8
SQL Server 2017: Security on Linux
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9
Transform Healthcare with Advanced Analytics Solutions (KenSci)
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10
The app developer's managed cloud database (overview)
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11
What's new with Azure Machine Learning
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12
Developing Xamarin based data-driven intelligent applications using Azure Data Services (ADS)
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13
Developing applications with SQL vNext (Linux), Entity Framework, DevOps and Azure
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14
SQL Server 2017: Advanced Analytics with Python
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15
Big Data that is easy and productive with Azure Data Lake
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16
Adding intelligence to your applications using big data at scale
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17
Deploy an intelligent solution with Solution Templates
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18
Building an Intelligent Bot
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19
Transform traditional Data Warehouse with cloud and Big Data
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20
What's new in R Server 9.1 and SQL R Services
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21
SQL Server 2017: HA and DR on Linux
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22
SQL Server 2017 Scale Out
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23
SQL Server on Azure VM - Getting Started
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24
Build global-scaled mobile apps in minutes
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25
Get Started With Azure Analysis Services
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26
Enterprise-ready Data Warehousing in the Cloud
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27
SQL Server 2017: Adaptive Query Processing
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28
Breakthrough performance with SQL Server for Data Warehousing (new RAs)
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29
Overview of Microsoft Machine Language R package
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30
Transform Retail with Advanced Analytics Solutions
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31
Get started developing apps with SQL Server 2017 running on Linux
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32
Transform Manufacturing with Advanced Analytics Solutions
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33
SQL Server 2017: BI enhancements
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34
Microsoft Data Amp - Stories: Rockwell Automation and Great Lakes Brewing
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35
Microsoft Data Amp - Stories: Cochrane
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36
What's new with Microsoft Cognitive Services
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37
Creating Trusted and Effective Analytics Solutions: KPMG and Microsoft
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38
SQL Server 2017: Building applications using graph data
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39
Build intelligence into your apps with SQL Server 2016
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