Datagrillen: Data, Bratwurst und Beer

Datagrillen: Data, Bratwurst und Beer

Data, Bratwurst and Beer

An event that started 5 years ago as a small event, that has grown into an event with 200 participants, 50+ sessions, 5 tracks, 2 days and a BBQ in a small place in Germany, called Lingen. William Durkin and Ben Weissman are the main organizers, but are supported by a bunch of volunteers and supported by a great group of sponsors.

Speaker/Volunteer diner

Wednesday the event started for me with a drink in Hotel Lobby and with a great dinner in the Alte Posthalterei. We had a great evening, met some old friends and made some new friends.

DataGrillen Dinner

Sessions

DataGrillen Keynote

The first day started early, we helped preparing the badges and did the check in. Around 9:00 am almost every attendee was in and ready for the Keynote. During the keynote there was a special welcome to all the newcomer Speakers and their mentors. This newcomer track is designed to accommodate people new to presenting. In my opinion this newcomer tracks should be introduced to all events.

During these 2 days there were 5 sessions divided over 5 tracks on both days. I have attended many nice sessions, but I have certainly gained a lot of new inspiration out of these sessions.

DataGrillen Axians

Day 1 ended with the traditional bbq. Personally, I love bbq a lot and know that it is hard work to get a bbq for 200 people, but the catering did very well. Compliments to the catering.

During the days I have spoken to many people, both well-known and also many new ones. From Axians we joined this event with 3 people.

We are 1 large #sqlfamily.

 

 

Rafle time

After 2 tiring days, the event was traditionally closed on Friday by William and Ben with the raffle. And that was for me also the end of 2 great days and I could start with my home trip.DataGrillen Raffle

 

Sponsors

Thank you Solisyon, Datamasterminds, SentryOne, PowerBi Sentinel, dbWatch, Rosen, Shop Apotheke Europe, Redgate, Hedda and IT Emsland without you the event wasn’t free, there where no drinks and there was no food.

Next Year

Next year the event will take place on may 28 and may 29.

Call for Speakers is  open https://sessionize.com/datagrillen-2020/

See you next year. And once again thank you William and Ben for organizing

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SSMS 18.xx: Creating your Azure Data Factory SSIS IR directly in SSMS

Creating your Azure Data Factory(ADF) SSIS IR in SSMS

Since  version 18.0 we could see our Integration Catalog on Azure Instances directly.

Yesterday I wrote an article how to Schedule your SSIS Packages in ADF, during writing that article I found out that you can also created your SSIS IR(Integration Runtime) directly in SSMS.

I never saw the option before, it was always grayed out(because the SSISDB was already in Azure). But if you connect to an On Premise system it will not be grayed out.

An easy scenario to lift and shift your SSIS Packages to Azure, with a couple of steps you can create your SSIS IR.

Go to your Integration Services Catalog on your On Premise Server. Right Click and select the option “Try SSIS in Azure Data Factory” and click on Next.

Create ADF

 

 

 

 

 

 

 

 

Prerequisites

As Prerequisites you will need:

An Azure account.

An Azure SQL Database server or Managed Instance.

 

Configuration of your SSIS IR

Create SSIS IR in Azure wizard.

Creating ADF SSIS SSMS

On the right upper corner you can log in to your Azure Subscription.

Select the correction Subscription, in case your have more subscription assigned to this account.

Select the Catalog Server where you want to install your SSIS IR on. This server cannot have an existing SSISDB.

Provide the necessary log in details and click on connect.

 

 

 

 

 

 

Creating ADF SSIS SSMS Validation

 

The last step is to Create your SSIS IR.

After you have clicked on Create,  SSMS will do some validations and after these validations you will be asked to open the ADF Portal.

 

 

 

 

 

 

 

 

 

 

Azure Data Factory Portal

Creating ADF SSIS

 

 

 

After you logged into the portal you will see a summary of the detail how your SSIS IR will be setup.

If you click on next your SSIS IR will be started.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Change Settings

To change any of the Parameters above you need to use the previous button. You can change:

Number of Parallel Executions Per Node

Custom Setup Container SAS URI

VNET

Node Size

License

The name of your SSIS IR and Resource Group are create by the setup and cannot be changed.

The Resource Group for example is created in the Region US-East.

 

ADF Pipeline

 

 

Conclusion

It is a simple way to setup your SSIS IR in Azure, but I do prefer do this my self trough the Azure Portal or automated with a PowerShell script.

SSMS 18.1: Schedule your SSIS Packages in Azure Data Factory

Schedule your SSIS Packages with SSMS in Azure Data Factory(ADF)

This week SQL Server Management Studio version 18.1 was released, which can be downloaded from here.

In version 18.1 the Database diagrams are back and from now on we can also schedule SSIS Packages in ADF via SSMS.

 

Select the package you want to schedule in your Integration Services Catalog,

Schedule SSIS Packages

 

Create the schedule you want to create and click on OK.

 Your schedule will be created in Azure Data Factory.

SSMS Schedule

 

 

 

 

Azure Data Factory

In Azure Data Factory a pipeline and trigger are created automatically

SSIS Packages Azure Data Factory Pipeline

 

Azure Dev Ops

Scheduling your SISS packages is not working fine when you have Azure Dev Ops Enabled. Pipeline and Trigger are published to the Data Factory instead of Azure DevOps GIT as you can see below.

My advice will be to build your schedule/trigger directly in Azure Data Factory when you ‘re using Azure Dev Ops.

SSMS Azure Dev Ops

 

In case you have any questions left, do not hesitate to ask them. I’m more then happy to answer them.