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.
This presentation includes an overview of SQL Server 2012 & a deep dive into SQL Server 2014 columnstore indexes, including a review of the architecture, as well as the challenges, workarounds, travails, & big wins at customer sites
Being able to reason over your data and accelerate your insights is essential in this cloud first mobile first world. This session visits key technologies, PowerBI, AzureML and IoT to help you start driving your data culture.
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.
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
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.
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.
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.
The way our data will be stored is changing and it's all about your network. Come find out why CSVs, SMB, Windows Scale Out File Servers, fast networks, and maybe even the cloud are in your future.
This session will focus on 5 great hybrid cloud features available in SQL Server 2014 that show how you can use these features to lower your TCO and leverage the cloud to provide new disaster recovery and backup solutions.
While there are many similarities between SQL Server and SQL Azure, there are different kinds of applications that are easier to build in one or the other. One of the major differences relates to how to build an application that “scales”. This presentation will provide an introduction into the difference between scale-up (SQL Server) and scale-out (SQL Azure) architectures and give you a primer on how you can build a large, Internet-facing service that can scale to arbitrarily large sizes on commodity hardware. This talk is targeted at SQL Server practitioners to give them a working knowledge of how the two platforms differ based on Microsoft’s experiences with its largest Software-as-a-Service (SaaS) customers running on SQL Azure.
Just because you're using an Azure SQL database does not mean you can avoid tuning queries. This session will introduce you to the tools you have available to identify poor performing queries, understand, and fix them. All in the cloud.
In this session we are going to look at the some of the flavours of SQL in Azure, namely Windows Azure Database and SQL on IaaS. We will discuss the differences between them, look at what this means from a DBA stand point
Ewan Fairweather and Silvano Coriani from the SQL CAT team will take you on a tour of the new features that make up the Windows Azure Virtual Machines and Virtual Networks running SQL Server 2012 in a Virtual Machine.