Azure stream analytics is a new Azure service for analyzing streaming data.
Azure Data Factory is a managed service for extracting, transforming and processing data, with ability to define pipelines and data driven workflows. in this session you will learn differences between this tools and SSIS with demos
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 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.
This session will look at providing cost effective DR capability with Azure.
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.
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.
Firstly we will show off Microsoft's enhancements to the Hadoop open source stack with HDInsight showing you how easy it is to get started with Hadoop. Secondly we'll explore an interesting big data use case
In one hour we will take a sample ecommerce application and database, show tools available for both schema and data migration and the demo performance, scalability and monitoring impacts.
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.
This session will discuss the recommended approaches and best practices for partitioning and scaling Windows Azure SQL Database, allowing you to fully leverage the managed relational database service and take advantage of massive scale-out scenarios.