4th - 7th March 2015

ExCeL London Exhibition and Convention Centre, London

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Azure stream analytics is a new Azure service for analyzing streaming data.
Azure Machine Learning is a fully managed cloud service for predictive analytics. In this 1hour session, we will run through; ML Studio,using data, Creating and running Experiments, visualising results, R , publishing and using experiments.
Sometimes don't want our data in the cloud, but that doesn't mean we can't use the cloud at all.
The Azure CAT team has successfully architected, designed and built hundreds of cloud projects. In this session we will share the learnings on how to design a cloud application to scale to handle large, complex workloads.
Come to this session to see how to build a scalable analytical solution on Microsoft Azure with Elastic Search and Kibana.
Come to this session to find out what is involved and what we learned from migrating 700+ servers into Microsoft Azure.
You're hearing a lot about the new features in SQL Server, but you're not hearing a lot about the drawbacks. Ever wonder why? Join Brent Ozar, the guy behind DBAreactions.com, for a sarcastic, funny look at SQL Server 2014's "features" and bugs.
Does the concept of analytics make you nervous? Are you being asked to do more advanced analysis with existing tools? Come learn how to take your predictive capabilities to the next level with new azure technologies.
Many customers are looking toward Cloud technologies to reduce operational and capital expenditures. A popular choices today for SQL Server customers is to deploy in the Microsoft Azure Virtual Machine environment. Come to this session and learn how
This session will look at providing cost effective DR capability with Azure.
Attend this interactive session and learn how to create, deploy, and migrate data from your on-premises instance of SQL Server to Microsoft Azure Virtual Machines and Microsoft Azure SQL Database.
Need to search your data efficiently whilst in the cloud? This session introduces you to MSFT's highly scalable search solution in Azure
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.
One of the crawl, walk then run onramps to the cloud would be to exploit Hybrid computing. Microsoft SQL Server gives you this on ramp as it continues to extend the value to your on premise environment with features that let you extend to the cloud
Learn how to use the Power BI tools to help you analyse, specify and test the concepts and requirements of your next data Warehouse project.
Power BI offers new features for creating dashboards on the cloud. In this session, you will learn how to create data models, display visualizations and synchronize cloud data with on premise data sources.
Come along to see us attempt to optimise and redesign the “Dell DVD Store” sample dot.net/SQL application from a modest 100 transactions per minute to a million transactions per minute.
Need a snazzy dashboarding tool, and want it free or cheap? With a modicum of R and Linux knowledge, you can make interactive realtime dashboards for free that can be used in any web browser. Learn how in this session.
In this session, we show how SSIS and HDInsight can work together, as well as how Hadoop jobs can be executed and how data can be transferred with SSIS between HDInsight, SQL Server, and other sources or destinations.
Microsof IT's Cloud strategy involves migrating hundreds of applications to Azure. The scale on which it is being done may be unprecedented. Lessons Learned are numerous. This session exposes the most important—& painful—ones.
Power BI is the Self-Service BI offering of Microsoft to all Information Workers out there, but hey: Is there anything for developers? We will have a look.
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.
Peter O'Connell will talk about how SpotlightEssentials.com uses SQL Azure to collect and mine over 40TB of SQL Server Performance data across thousands of instances to drive unique insights into SQL Server Performance.
Polybase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and soon Windows Azure Storage Blobs (WASB). See it in action.
Microsoft is moving to the cloud and SQL Server 2014 is the first release with features designed specifically to extend your datacentre into the cloud. In this session we'll look at these features with end-to-end demos, discussions and scenarios so you can understand what the future could look like in your own SQL Server environment.
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