Azure Data Factory is a managed service for extracting, transforming and processing data, with ability to define pipelines and data driven workflows. in this session you will learn differences between this tools and SSIS with demos
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.
See how to use Power Query to build a detail-level reporting solution
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.
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.
Join me for an hour of playing with different ETL patterns by using Clustered Columnstore Indexes. Using different Hardware might lead you to different conclusions,and the size of the workload is always the paramount of your performance.Loading data first and then creating a Clustered Columnstore or creating Clustered Columnstore and than loading - join me to find the answers!
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.
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.