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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.
I know what you're thinking, Powershell is not an ETL tool. And you're probably right. But I keep running into weird requests that were just easier to fix with Powershell. I'll show you why some things are not easy in SSIS.
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.
In this session we will learn about the SSISDB catalog views. We will use this info plus our own info to build a monitoring solution for SSIS using SSRS.
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.
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.
In this first of two sessions, we review the architecture of SQL Server and its BI components and deployment options for optimal performance. We'll also discuss how to optimize data warehouse load operations.
Learn all about the integration of Business Intelligence Markup Language (BIML) into BIDS Helper and see what it can do for you. BIML can help you automate the creation of SSIS packages, reduce maintenance and help code re-use across projects.
The SQL Server provides much functionality that increases the scalability and flexibility of your solution by distributing data and jobs among low-priced commodity servers.
Attunity's Ian Archibald will discuss how CDC solutions can solve problems in BI and ETL/DW projects, co-hosted with two of the industry’s highly-respected SQL Server gurus BI expert Jennifer Stirrup and ETL expert and SQL Server MVP Allan Mitchell
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