Come to this session to pick up some tips and tricks for advanced reporting writing, that is also in accordance with thinking by Data Visualisation gurus such as Stephen Few and Edward Tufte.
In this session we’ll look at a number of different data scenarios and explore ways of remodelling the data to optimise it for cubes and MDX. Sometimes a small ETL change can have a dramatic impact on the cube's functionality and simplicity.
In this session, we will analyze the way DAX solves filtering. Starting from simple queries, we will follow the steps DAX does with the filter context, discovering the internals of the query engine of DAX.
This session looks at the most significant new functionality to be added to SSAS Multidimensional in recent years: support for the DAX language and Power View.
Big Data is hot! And the magic word is Hadoop. But what is it? And more important: what can I do with it? In this session we will cover some basics of Hadoop, MapReduce, Pig and Hive.
ioN Data Accelerator software transforms industry-leading open server platforms into powerful shared acceleration devices for multiple applications or clusters. Come learn how and why.
The geospatial capabilities in SQL Server are not only powerful, but easy and fun to use! In this session, learn how to integrate location-awareness into your own applications with the geometry and geography data types.
A deep dive in the internals of the database architecture, discovering how Vertipaq stores information, in order to gain better insights into the engine and understand the best way to model your data warehouse to leverage the features of VertiPaq.
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.
This session will discuss what a modern strategy for data warehousing can be in this era, considering how the use of technologies like PowerPivot or Analysis Services Tabular affect the way you should model your data.
In this session, we will use Grade of the Steel type workloads to quantify the CPU cost of enabling different types of compression. Using CPU profiling, we will try to quantify the cost of this feature.
In this session, I’ll tell you about some of my favorite undocumented features, and also tell you some of my tricks for discovering more undocumented secrets.
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
In this session we will advice how to avoid common developer mistakes and show how bad designed queries reduce the SQL Server optimizer's capabilities for choosing an optimal execution plan.
Do you have enough from "normal" performance tuning sessions? You can't hear anything about Indexing and Execution Plans anymore? Then you are right in this session!
Most T-SQL developers know that the APPLY operator can be used to invoke a table valued function. But do you know the other ways APPLY can be used? Come learn five additional use cases and leave with a few new tricks up your T-SQL sleeves.
While knowledge of SQL Server troubleshooting still applies to the Windows Azure SQL Database service, there are new and different features, methods, and tools that are unique to cloud database computing. Come learn about these new techniques.
It's 2AM and Disaster just began... In this session I want to discuss about best practices for surviving disaster, based on my experience in few years in data center. I presented this session as Lightning Talks in Liverpool. Now is the time for full
Karen discusses five (plus a few more) database design blunders with tips on how to avoid them. Audience members will also be able to contribute their war stories of design fails, WTHs and D'ohs.
SSIS in SQL Server 2012 has a lot of new features to help control larger projects. I'm doing a trial migration of our datawarehouse (100+ packages, 1TB+ db size) This session will be a will be a walkthrough of this process and a lessons learned
In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.
An in-depth dive into physical table structures
SQL Server Integration Services (SSIS) 2012 includes a new database referred to as the SSIS Catalog. Come to this session to learn what it does and how its going to change how you do SSIS development.
Mission critical is a major focus of SQL Server 2012. There are quite a few changes in this release to ensure that you maximize your uptime and reliability when it comes to SQL Server. This session will start preparing you for what is coming.
Learn how Varigence tools accelerate BI development, enhance reusability, and improve agility through the use of customizable patterns and automation scripts and transform your metadata into comprehensive BI solutions.
This session will cover advanced security topics in the Analysis Services Multidimensional model.
In this session we'll understand the best practices of using this new technology. What exactly is it good for? When to use it and when NOT to?
Migration, Security, Administration and other tips and tricks.
We'll focus on the awesome new SQL Server 2012 stuff that will make your T-SQL development a breeze. We'll look at new stuff like OFFSET, WINDOWING FUNCTIONS, SEQUENCES, ERROR HANDLING, FORMAT & CONVERT functions and METADATA DISCOVERY.
In this session, you will learn how to combine data from web services, tables and cubes to build a powerful model, and visualise it in Excel.
: We are looking at the dawn of a new workload: BigData. In this session I will talk about what BigData is, and which BigData technologies Microsoft are working on.
The Microsoft BI stack has a number of tools for data visualization - Excel, Power View, native Reporting Services, and Performance Point. Come see each visualization applied to the new tabular model in Analysis Services.
Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want
Most of us use Excel in our Daily work, but are you familiar with the Business Intelligence features in Excel? In this session we'll look at some of the most common and useful BI features in Excel 2010 and discuss limitations and best practices.
In this session you will see how to create a BISM Tabular data model from scratch, providing the required metadata in order to improve user experience navigating the data model by using client tools like Excel PivotTable and Power View.
We’ll be looking into the pros and cons of moving SQL Servers into a virtual server environment. Specifically we’ll be looking into when it’s a good idea and when it’s probably not a good idea.
Declare how you want your schema to look like, not how you want to implement it. Using the SQL Server Data Tools, you define your database schema in a declarative form and deploy it as such!
Do you want to learn how Microsoft helped one of the largest Financial Services organizations in the world design a Private Cloud infrastructure using Windows Hyper-V and System Center 2012 to standardize and consolidate hundreds of SQL Servers?
This talk will cover how the distributed query feature in SQL Server works, end-to-end. Topics include the query model, metadata, query optimization, execution, distributed transactions, and scale-out scenarios via Distributed Partitioned Views(DPV)
This talk will explain the patterns that we recommend to customers when designing data warehouses. This talk will help people learning about DW for the first time and also give insight for those who wish to learn more.
In this session we shall demonstrate configuration, installation and administration of SQL Server 2012 on Server 2008R2 Core. We shall discuss Command line and PowerShell configuration, Installation of SQL, Remote Administration and Clustering.
But were afraid to ask.
Pyramid Analytics burst onto the Microsoft BI scene with not only a full roadmap for ProClarity users, but also with cube driven dashboards that offer rich functionality – yet are easy to design and deploy by business users.
Extended Events made its appearance in SQL Server 2008, but in SQL Server 2012, the number of lightweight events have been expanded. After a quick review of how Extended Events work, I’ll cover the enhancements in detail.
A beginners guide to using Extended Events Sessions to monitor your servers.
SQL Server FastTrack References Architecture gives you the best practices and reference architectures from different hardware vendors to help you create a balanced environment for your data warehouse workload.
More data, less time, storing everything. These ingredients mean it is becoming imperative we do not move the kitchen sink everytime we do our ETL Come to this session to find out how.
Join Quest Software’s Kevin Kline as he takes you on a guided tour of some of the worst and most horrible IT experiences. Some of them were intentional and some were accidental, but all of them will make you wince. Most are great for a laugh!
Introductory Relational Theory Using Lego Bricks to Model Data and Set Operations
Ever deployed an Analysis Services cube that worked perfectly well with one user on the development server, only to find that it doesn’t meet the required volumes of user concurrency?
This session looks at some of the different methods available to load slowly changing dimension data into a data warehouse, and compares the relative performance given different data scenarios and traditional storage compared with FusionIO
Hierarchies are the bread and butter of most business applications (departmental diagram, product categories, sales territories, calendar, …). See typical business problems and how they are solved in SQL Server.