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Solving ETL bottlenecks with SSIS Scale Out
Do you have large-scale SSIS platforms which experience bottlenecks due to the number of packages or volumes of data that need to be processed? Yes! Then you need to explore SSIS scale out.
What’s New with SSIS in ADFv2
See the latest features of SSIS in ADFv2, e.g. ARM VNet, Enterprise Edition, Custom Setup Interface, Execute SSIS Package Activity, etc.
Automate Your ETL with SSIS and PowerShell
ETL Development takes time. Allen will show how PowerShell and BIML combine to make the development process seamless, consistent and reduces costly development time dramatically.
Azure Data Factory vs SSIS
Azure Data Factory and SSIS are both data movement tools, but built for different purposes. In this session you will learn pros and cons of using each technology, and best practices of using each in real world scenarios.
Biml for Beginners: Speed up your SSIS development
SSIS is a powerful tool for extracting, transforming and loading data, but creating and maintaining a large number of SSIS packages can be both tedious and time-consuming. Learn how to speed up your SSIS development by using Biml and BimlScript.
Essential Architecture for Bi in a Virtual Environment
Virtualization has had a major impact on computing. While data professionals have adjusted to this for database servers, many BI workloads have moved there as well. Learn about the impact of virtualization on BI.
Hadoop: Big Data or Big Deal?
Hadoop (Big Data) vs SQL Server. A view from a SQL Server DBA / Developer
Performance Tuning SQL Server Integration Services (SSIS)
In this demo-rich presentation, Brian shows you some of the common and not so common ways to tune SQL Server Integration Services (SSIS).
SSIS 2012 logging and monitoring
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.
Loading Data Warehouse Dimensions in SSIS
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
Creating a Meta Data Driven SSIS Solution with Biml
In this session you'll get a good introduction of the concepts and advantages of Biml as we walk to the creation of Meta Data Driven SSIS Solution.
Designing an SSIS Framework
In this “demo-tastic” presentation, SSIS trainer, author, and consultant Andy Leonard explains the what, why, and how of an SSIS framework that delivers metadata-driven package execution, connections management, and centralizes logging.
Handling Advanced Data Warehouse Scenarios in SSIS
Do you have complex dimensions in your data warehouse? Parent-child, late arriving, type 3 or type 6? In this session, we'll cover some SSIS patterns for handling each of these, along with tips for making them perform well.
28 Weeks later - How to scale-out your MS Business Intelligence environment
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.
Back to the SSIS Future
A look at the new SSIS features in SQL Server code-named Denali
SSIS Custom Components
Writing your first SSIS custom components can seem like a very steep learning curve. In this session i shall walk you through a simple skeletal one to start you on your way.
SSIS Dataflow Performance tuning
Building performant data flows takes more than just dragging a few boxes onto a design surface. In this session I'll demonstrate that SSIS perf tuning is less about fine-grained tweaks and more about designing packages correctly in the first place.
Designing and Tuning high speed data loading
My Name is Thomas Keyser and I work for Microsoft in the SQLCAT team. I hold the land speed record for data loading in SQL Server so come here my talk on the options you have.
SSIS Fieldnotes
After years of careful observation and recording of the Species SSIS, Genus ETL, in both natural and artificial environments, I’ve gathered a large collection of fieldnotes. Find out the little decisions that get made that can have big impacts on you project later on. What option to choose for better performance, or better management, and what are the trade-offs? This session won’t just focus on holy grail of performance, it will review the way you build and use SSIS taking into account the on going maintenance and management aspects as well.
Design patterns for SSIS Performance
Do you wonder about SSIS performance? Well I do, and I've compiled my research into this session. We'll cover various design patterns for solving common problems like inserts vs. updates, is it faster to use a lookup, or can you just catch the errors and process them afterwards? As well as the richer patterns we'll look at some straight comparisons between two components that can be used to do perform the same task and ask which one is quicker?
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