4th - 7th May 2016

Liverpool

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Come to hear about lessons learned from early customer deployments of SQL Server security features: Row level security, Always Encrypted, Data Masking, Auditing, etc.
Security is one of the top topics for the new release of SQL Server. A total of 3 completely new features are coming to us: Always Encrypted, Dynamic Data Masking and Row Level Security.
In this session you will get a brief introduction to the basic principles of Master Data Services, together with an overview of all the new features brought to you with Master Data Services 2016.
This session will show you what is possible in the Power BI Offering of Microsoft in relation to Data Governance
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.
In this purely demo-based session, I will show several real-life attacks, from mere reading up to disrupting service availability via various types of manual and automated SQL Injection, including a broadly unknown elevation of privileges attack.
This session covers all aspects of what you need to do, to enable the storage of card details in SQL Server and achieve PCI certification. We will deep dive into the solutions for storing the data securely using SQL Servers encryption functionality
What are the techniques to implement linked reports, subscriptions, report history, snapshot options, editing report using browser based Report Builder? Find out in this session.
Everyone knew how to keep data safe and secure, right up until Edward Snowden revealed this error. Learn how to keep the data secure, by identifying and quantifying the risks. Take away practical tips and advice to apply immediately.
This session targets SSAS developers that are already dealing with complex security solutions on a regular basis and want to get more insights on what actually happens inside SSAS when the different kinds of security are applied to their model.
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