Pyramid Analytics BI Office’s Enterprise BI Platform and PrecisionPoint’s data warehousing solution for MS Dynamics ERP systems combine to deliver simplified access to key Business and Financial data.
Learn the ins and outs of Azure Data Lake in this deep dive
The SQL team has been working on next-gen query processing improvements to improve the performance of your queries and to enable new scenarios. This talk will explain these enhancements and how they fit into the overall product roadmap for SQL.
We’ll share in the session best practices of designing highly available SQL Databases in the context of cross region deployment; how to make your application robust to handle transient connectivity issues.
Azure SQLDW - WHAT, WHERE, WHEN and HOW to use it.
Industry independent analysts say “Pyramid Analytics is essentially the best-in-class, on-premises offering for Microsoft BI today and tomorrow” What does this mean for you and PowerBI?
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.
Business expects 360 view of Customer but data is difficult to build, challenging to clean and complex to de-duplicate. The challenge is to synchronise this data with systems of record. See how Profisee can solve this problem at volume & without code
In this session we will review the new enhancement to SQL Server security available in SQL Server 2016 and Azure SQL DB.
By using open data and web scraping in Power BI we will examine if weather has an impact on games in the English Premier League. We will look at the advantages and disadvantages of using open data and web page data how Power BI works with it.
Many organizations want to build software in a DevOps framework, but struggle to include the database. Come see how Continuous Integration, Testing, and Continuous Deliver can work with a database.
Learn to build Analysis Services models in the cloud
Come to this session to learn about AzureSQL DB migration approaches, challenges, and solutions from SQLCAT. We will present practical migration guidance and learnings from our engagements with high scale and complex customer migrations
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
See how Azure Data Factory orchestrates the movement of data in Azure, with a case study from a Microsoft partner.
This session describes columnstore index internals with deep insight into data compression methodology for achieving high query performance including improvements in column store investments for SQL Server 2016 and Microsoft Azure SQL Database
The SQL Team delivers value monthly to both cloud and on-premises environments. This is not easy to do. This talk will explain the model, telemetry and security
Attend this session to get an overview of the wide array of significant changes and investments with Azure SQL Database, including parity with SQL Server 2016 and Intelligent database capabilities.
Learn about identity management in Azure. You will learn about how to manage identity across your cloud environments.
PolyBase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and Windows Azure Storage Blobs (WASB). See it in action.
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 find out what is involved and what we learned from migrating 700+ servers into Microsoft Azure.
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.
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
Learn how Auditing provides Configurable Auditing policy and Azure storage to log database activity. Also learn how to leverage Dynamic Data Masking reduce the exposure of sensitive data in application and DevOps scenarios.
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.
Query Store is a new feature that is coming to SQL Azure and SQLServer. It aims to greatly simplify the process of getting insight intothe performance of your application. Come learn how the SQL team is going to make your life awhole lot easier!
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.
This session will look at SQL Database Elastic Scale through the important lens of the DBA, focusing on the critical aspects of database performance, maintenance, and management without adding unnecessary complexity.
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.
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