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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.
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