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Cloud Processing: PaaS SSIS & Advanced Patterns with ADFV2
Many existing Data Factories include large numbers of workarounds due to limitations with the service. Now that ADF V2 is available, we can restructure our Data Factories to be lean, efficient data pipelines, and this session will show you how.
Deep Dive into SSIS 2017 and Beyond
We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory
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.
Deep Dive into SSIDB Catalog
A session to understand the available functionality of SSISDB Catalog
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.
Data Warehouse load performance with SSIS and SQL Server
The typical performance bottleneck in your data warehouse is using SSIS to insert massive amount of data into SQL Server. In this session, you will learn how to improve the load performance with SSIS into SQL Server.
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.
SQL Server 2016 Business Intelligence New Features
Do you get involved in the creation of Business Intelligence solutions within your organisation? This session will show you the new features of SQL Server 2016 Business Intelligence components.
Analysing Text with SQL Server 2014
This session introduces SQL Server 2012 and 2014 text mining capabilities.
Building a meta-driven near realtime ETL solution with BIML
This all demo session build around a real life case study from one of the largest organizations in the world. will take you through a case of how to build a completely meta-driven SSIS solution relaying on BIML and MDS to do the hard-work for you.
Delivering Agile Analytics with Azure Machine Learning
Does the concept of analytics make you nervous? Are you being asked to do more advanced analysis with existing tools? Come learn how to take your predictive capabilities to the next level with new azure technologies.
Going Asynchronous with Service Broker
This session will explain the benefits of asynchronous processing in Service Broker compared to other options like SQL Agent jobs or SSIS packages, and how to implement the basic components required.
Increase your SSIS productivity with Biml
Discover the power of Business Intelligence Markup Language (Biml) and increase your Integration Services development productivity.
SSIS & HDInsight
In this session, we show how SSIS and HDInsight can work together, as well as how Hadoop jobs can be executed and how data can be transferred with SSIS between HDInsight, SQL Server, and other sources or destinations.
Tools and Tips: From accidental to efficient DWH developer
As data warehouse developers we deliver data to business users... but we don't deliver data as fast as we want. There are many things you can do to increase your own productivity and become a more efficient data warehouse developer.
Hadoop: Big Data or Big Deal?
Hadoop (Big Data) vs SQL Server. A view from a SQL Server DBA / Developer
Integration Services (SSIS) for the DBA
In this session, you will learn what SSIS is, what components it consists of, and how to use the SSIS catalog to track the execution of packages and how to troubleshoot packages.
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).
Practical Unit Testing for SSIS Packages
Unit and integration testing for SSIS packages can be challenging. Come to this session to learn how to leverage open-source tools to drive the testing of your packages and the resulting data.
SSIS internals and performance
In this session, you will learn the internals of SSIS and why having a deep understanding is important to solve performance problems, and how the control flow and data flow engine work.
Cleaning Up Dirty Data with SSIS
In this session, we'll review methods for cleaning up dirty data using SQL Server Integration Services. We will review the various cleansing tools accessible from within SSIS including native components, T-SQL, SSIS scripting, and DQS.
ETL shootout-SSIS vs Powershell
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.
Scaling Out SSIS With Parallelism
An introduction to scaling out packages using parallelism with the "Work pile" pattern, balanced data distributor and "Roll your own" techniques.
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.
A better SSIS? Migrating a datawarehouse to SQL Server 2012
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
A lap around the SSIS Catalog
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.
Accelerating BI Projects with Varigence
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.
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
SSIS in SQL Server 2012, Part 1: Developer Enhancements
This demo intensive session will show off the new features and enhancements designed to ease adoption for new users and increase productivity for experienced SSIS developers
SSIS in SQL Server 2012, Part 2: Deployment and Management
The SQL Server 2012 release of SQL Server Integration Services (SSIS) includes a broad range of new capabilities designed to improve the deployment, management and monitoring of SSIS solutions. The core of these capabilities is the new SSIS Catalog.
SSIS with BidsHelper-Getting into BIML
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.
Unit Testing SSIS Packages
Unit testing is incredibly beneficial, but is very difficult to do effectively in SSIS. If you have wanted to do this, but aren't sure how, this session will cover the options and demonstrate a free tool for unit testing packages.
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.
Whats New in SQL Server Denali for SSIS
This session shows off the new features of Microsoft SQL Server Integration Services in SQL Server code-named “Denali”.
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
Executing SSIS Packages
Executing SSIS Packages and handling the errors
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.
Attunity Change Data Capture for SSIS
Attunity will be presenting their award winning change data capture (CDC) products for SSIS. This session will discuss whatchange data capture is, why it's used, and will demonstrate how CDC processingcan be seamlessly integrated into SSIS.
Automating SSIS
I had to import and process 100+ files for my latest project and wondered if there was a way to generate SSIS packages based on a repository table containing the rules. As it turns out, this can be done but the programming model is a bit awkward. The samples that you can find online are not allways functional and debugging is difficult. I did get it to work though and will show you how I did it and what problems I ran into. After this session you will know how to generate packages that contain sources, destinations, cached lookups, derived columns, conditional splits, sorts, union all, etc. This session is not about the script component inside SSIS but about generating SSIS packages and programmatically reading and changing properties of existing packages.This session should also be usefull if you're not a full blown developer but more of a DBA type. I'm a DBA and I got through this :-)
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 Dataflow Performance tuning
Need to eek out a bit more oomph from your dataflows. This session might be of some use.
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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