TechDays Hong Kong 2015: Azure Data Factory vs. SSIS

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It has been long time passed from my presentation in Hong Kong TechDays 2015 on Mid February, I’ve been really busy so far and hadn’t chance to upload my presentation files here. I would like to thank all audience of my session on Azure Data Factory vs. SSIS, and provide you the link to my presentation slides. In this session you will see comparison between SSIS and Azure Data Factory on different factors such as developments, features, deployments, user experience, environment, and etc. For each comparison factor you will see a table comparison of these two products and their pros and cons for different situation.

TechDays Hong Kong 2015 ran with more than 1500 audience, this was my third year experience in Hong Kong event. Special Thanks to Microsoft for giving me the opportunity to speak, and to all my audience for their attendance and feedback. I’ve talked four sessions in this event, below is one of the sessions:

Session Title: Azure Data Factory vs. SSIS

Session Description:

SSIS is the mature on premises ETL and data transformation tool, and Azure Data Factory on the other hand is cloud ETL and data consolidation tool which has been released recently as part of Microsoft Azure services. In this session you will learn main differences between these two, and you will see scenarios that one of these works best. You will learn how to choose best of these tools in each specific scenario.

Download session slides:

http://download.microsoft.com/documents/hk/technet/techdays2015/Day2/DBI387_Reza%20Rad_SSIS%20vs%20Azure%20Data%20Factory.pdf

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Reza Rad
Reza Rad is an Author, Trainer, Speaker and DW/BI Consultant. He has a BSc in Computer engineering; he has more than 15 years’ experience in databases, programming and development mostly on Microsoft technologies. He is a Microsoft MVP in Data Platform for seven continues years (from 2011 till now) for his dedication in Microsoft BI. He is author of some SQL Server and BI books, and also Power BI online book; from Rookie to Rock Star.

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