Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
00:00:00 | Bob Duffy | 4 - Super Development | Optimising a dot.net solution on the SQL platform |
00:00:00 | Brent Ozar | 1 - DBA | How to Think Like the Engine |
00:00:00 | Brent Ozar | 1 - DBA | Real-Life SQL 2012 and 2014 Availability Group Deployments |
00:00:00 | Bruno Basto | 5 - Mixed Data | Data in, Information out |
00:00:00 | Constantin Klein | 4 - Super Development | SQL Server Data Tools - The IDE for database developers |
00:00:00 | Dejan Sarka | 2 - Developers | High Performance Statistical Queries |
00:00:00 | Edwin M Sarmiento | 1 - DBA | The Transaction Log and How It Affects HA/DR |
00:00:00 | Edwin M Sarmiento | 5 - Mixed Data | Integrating Big Data with SharePoint 2013 |
00:00:00 | Etienne Lopes | 4 - Super Development | Securing SQL Server |
00:00:00 | Fernando Marçal | 6 - Clustered Data | Smart SSIS with BIML |
00:00:00 | Hugo Kornelis | 5 - Mixed Data | Create Your Own Aggregate |
00:00:00 | Niko Neugebauer | 1 - DBA | Clustered Columnstore Deep Dive |
00:00:00 | Jen Stirrup | 5 - Mixed Data | Power View from the Data Visualisation Perspective |
00:00:00 | Paulo Matos | 6 - Clustered Data | Project Sienna - The gist |
00:00:00 | Mark Broadbent | 6 - Clustered Data | Olde Cluster Curiosity Shoppe - A Miscellany of top tips from the field |
00:00:00 | Mihail Mateev | 2 - Developers | Entity Framework 6 New Features |
00:00:00 | Miloš Radivojević | 2 - Developers | Hekaton challenges from Database Development point of view |
00:00:00 | Miloš Radivojević | 2 - Developers | SQL Server 2014 - New Cardinality Estimator |
00:00:00 | Murilo Miranda | 6 - Clustered Data | Clustered Instance - Storage Introduction |
00:00:00 | Nabeel Derhem | 7 - Free Data | Introduction to NoSQL |
00:00:00 | Oliver Engels | 3 - Business Intelligence | Power BI - The self service BI Lifecycle in the cloud |
00:00:00 | Oliver Engels | 3 - Business Intelligence | M versus P versus R - Languages for Data Exploration |
00:00:00 | Paul Turley | 3 - Business Intelligence | Visualization Choices: What, When, and How? |
00:00:00 | Paul Turley | 3 - Business Intelligence | Tabular Models: Easier Faster Than Cubes; Really? |
00:00:00 | Pedro Simoes | 7 - Free Data | Good fellows: System Center and SQL Server |
00:00:00 | Paul te Braak | 7 - Free Data | Analytical Data Mining - Using Data Mining to Understand Data |
00:00:00 | Quilson Antunes | 2 - Developers | Data auditing |
00:00:00 | Regis Baccaro | 5 - Mixed Data | DBAs are from Mars, SharePoint admins are from Venus |
00:00:00 | Ruben Pertusa Lopez | 6 - Clustered Data | Improving our BI solutions with Geolocated data |
00:00:00 | Scott Klein | 4 - Super Development | SQL Server HA and DR in a Windows Azure Virtual Machine – Deep Dive |
00:00:00 | Sergey Olontsev | 4 - Super Development | Analyzing Query Plans Deep Dive |
00:00:00 | Tim Mitchell | 3 - Business Intelligence | 15 Quick Tips for SSIS Performance |
00:00:00 | Tim Mitchell | 3 - Business Intelligence | Handling Errors and Data Anomalies in SSIS |
00:00:00 | Peter ter Braake | 7 - Free Data | MDX, it is not that hard! |
00:00:00 | Turgay Sahtiyan | 2 - Developers | Top 10 Performance Tips for SQL Server Developers |
00:00:00 | Andreas Wolter | 1 - DBA | SQL Server 2014 In-Memory OLTP / XTP Management Deep Dive |
00:00:00 | Allan Mitchell | 6 - Clustered Data | Happy as a Pig in Muck |
00:00:00 | Johan Bijnens | 1 - DBA | Powershell: The DBA as a consumer |
00:00:00 | Artur Vieira | 5 - Mixed Data | SQL PDW vs SQL Server, let's see the big differences |
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 4 - Super Development
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 4 - Super Development
Although SSDT is installed automatically with Visual Studio 2012, this method of database development and the functions provided are completely new to many developers.
This session aims to change that and to provide an overview of the advantages and potentials of SSDT. You will see how you can develop, debug, refactor, deploy and maintain SQL Server and Azure databases from a single IDE.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data
We will look at surfacing Big Data via Excel with PowerView and eventually publishing it in a SharePoint 2013 farm. We will also look at the security and performance implications of integrating Big Data with SharePoint 2013, so you will be able to properly design your Business Intelligence infrastructure.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 4 - Super Development
In this session, using lots of demos to ilustrate each situation, I'll cover some pretty relevant topics such as: Authentication; SQL Injection; Encryption (source code/sensitive data/entire database/comunications/encrypted backups (new in SQL 2014)); Proper use of permissions over database objects (using intermediate layer, execution context, users without login, etc.); Proxy accounts; alerts for potencial security risks when using clr integration or database cross ownership; Auditing and more...
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data
Ever since SQL Server 2005, you can easily create your own aggregate functions. All it takes is a bit of .NET code. This session will show you exactly how to create a CLR user-defined aggregate function, and how to use it in your queries. But it will also show you many workarounds to avoid having to do this for many commonly requested aggregates.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data
Come to this session if you really want to think about the best ways of presenting data to your Business Intelligence data consumers, and see how to apply these principles in Power View.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
This session will answers all these questions and will demonstrate new query processing capabilities and compare them with those from SQL Server2012.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
On this session I will introduce all the available ways to store database files in a clustered SQL Server instance, including the news of SQL Server 2014. If you never installed or even worked with a clustered instance, this is not an issue! A quick introduction about the role of clustered instance will be made.
I'll wait for you there!
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 7 - Free Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
like Power Pivot, Power View and Power Map This session will take a deep dive into the language behind the Power Query: "M". We will take the language concepts and possibilities and try to compare them with another cool kids in town: "R" and "P" aka Python. What possibilities do these languages offer, where can you use them best and how good is the integration to the Microsoft stack. The session is driven by demos and you will take away a good starting point how to work with these three languages.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 7 - Free Data
The System Center Operations Manager can greatly help us to manage our SQL Server. Let's see what is the SCOM and meet some tips for monitoring our server SQL-server.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 7 - Free Data
SQL Server Analysis Services includes a data mining engine that can be used at various levels within an organization, from analyst to developer. This session will look at data mining as tool for data investigation by the business analyst. We examine the business case, requirements and outcomes of data mining so that it can enhance our understanding of datasets. We will look at both simple and complex implementations of data mining that allow new information to be extracted from data and used in novel ways within the MS Stack.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
What are the advantages and disadvantages of its use, where and in what environments to apply. The three approaches used were : • DML Triggers • Change Tracking • Change Data Capture
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 4 - Super Development
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 4 - Super Development
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
In this session, we’ll focus on SSIS package performance, quickly reviewing 15 common hotspots for performance issues as well as recommended methods for maximizing throughput. You’ll walk away with some key design patterns and recommendations that you can use today to improve SSIS package performance.
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 3 - Business Intelligence
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 7 - Free Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 2 - Developers
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 6 - Clustered Data
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 1 - DBA
Event Date: 12-04-2014 - Session time: 00:00:00 - Track: 5 - Mixed Data