SQLBits 2020(Video)

SQLBits 2020(Video)

All sessions of SQLBits 2020 have been made available to everyone and can now be viewed via their Youtube channel. To make it easier to find a recording of your choice, a number of playlists have been created:

Developer SQLBits 2020 - Developer sessions
High Availability and Disaster Recovery SQLBits 2020 - High Availability and Disaster Recovery 
Containers SQLBits 2020 - Container sessions
Azure SQLBits 2020 - Azure
AI / ML SQLBits 2020 - AI and ML sessions
Performance Tuning SQLBits 2020 - Performance Tuning sessions
PowerBI SQLBits 2020 - PowerBI sessions

 

Recording of my session during SQLBits 2020

Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!

Azure Data Factory Let’s get started

Azure Data Factory Let’s get started

Creating an Azure Data Factory Instance, let’s get started

Many blogs nowadays are about which functionalities we can use within Azure Data Factory. 
But how do we create an Azure Data Factory instance in Azure for the first time and what should you take into account?  In this article I will take you step by step on how to get started.

First we have to login in the Azure Portal.

Azure Data Factory

Search for Data Factories and select the Data Factory  service.

Create ADF

Secondly we have to create a Data Factory Instance.

Create ADF names

Fill in the required fields:

  1. Subscription => Select your Azure subscription in which you want to create the Data Factory.
  2. Resource Group =>Select Use existing, and select an existing resource group from the list or click on Create new, and enter the name of a resource group(a new Resource Group will be created)
  3. Region => Select the desired Region/Location, this is where your Azure Data Factory meta data will be stored and has nothing to do where you create your compute or store your Data Stores.
  4. Name = > Create a unique name in Azure.
  5. Version => Always select V2 here, this contains the very latest developments and functionalities. V1 is only used for migration from another V1 instance.

Select Next: Git configuration

Azure Data Factory Git Configuration

Enable the option to configure Git later,  we will configure this later in Azure Data Factory.

Select Next: Networking:

Create Azure Data Factory Networking

Leave the options as is. I will explain the Connectivity Method in one of my next articles.

Select Next: Review + Create:

Create Azure Data Factory Validation

Your Azure Data Factory Instance will be created. Once you have created your Azure Data Factory, it is ready to use and you can open it from selected Resource Groups above:

Open Azure Data Factory

Select Author & Monitor:

Azure Data Factory let's get started

Encrypt your Azure Data Factory with customer-managed keys

Azure Data Factory encrypts data at rest, including entity definitions and any data cached while runs are in progress. By default, data is encrypted with a randomly generated Microsoft-managed key that is uniquely assigned to your data factory. But you also Bring Your Own Key (BYOK) more details can be find in my previous written article “Azure Data Factory: How to assign a Customer Managed Key

Please be aware that you have to assign this key on an empty Azure Data Factory Instance.

Roles for Azure Data Factory

Data Factory Contributor role:

Assign the built-in Data Factory Contributor role, must be set on Resource Group Level if you want the user to create a new Data Factory on Resource Group Level otherwise you need to set it on Subscription Level.

User can:

  1. Create, edit, and delete data factories and child resources including datasets, linked services, pipelines, triggers, and integration runtimes.
  2. Deploy Resource Manager templates. Resource Manager deployment is the deployment method used by Data Factory in the Azure portal.
  3. Manage App Insights alerts for a Data Factory.
  4. Create support tickets.

Reader Role:

Assign the built-in reader role on the Data Factory resource for the user.

User can:

  1. View and monitor the selected Data Factory, but user can not edit or change it.

More on how to assign roles and permissions can be found here.

Thanks for reading, I my next blog I will describe how to Set up your Code Repository.

My Virtual Session at SQLBits 2020

My Virtual Session at SQLBits 2020

SQL BITS 2020, the greatest data show 

Last week was SQL BITS week.

After the event was moved from April to September, it eventually became a Virtual event. Setting up a Virtual event requires a lot of adjustments in the Organization.

Recording

All regular sessions had to be recorded in advance so that during the event itself it could not go wrong.
For some of us this was new and others have done it before. In any case, it was new to me, but the organization did everything it could, to help us with various sessions in which everything was explained and in which we could ask all kinds of questions. Thanks for that.

Is it strange to pre-record a session?

Yes, it is, you are trying to find an environment in which you have no ambient noise, a good microphone and a good camera. But you don't always have an influence on ambient sounds. And presenting to a webcam is strange.

After practicing my session again, I recorded my session in one go and did not edit anything in the session. After all, something can always go wrong or go in a different way in a session, even if you record it in advance. Once you start adjusting or editing that, the end is lost and a lot of time goes into it. But also the charm of  a session is gone. After all, we are data professionals and not movie stars.

My Session

Back to the day itself, half an hour in advance I could log in to my session and must say that it was quite exciting. Would the video start, how do I come across and some more questions where in my head?
But all nerves for nothing, the session started right on time. In the meantime I had created a few polls which you could have the audience answer in between.
But also being able to answer the questions live during the session and sometimes even with a link to some extra information was now easy.SQL BITS Poll

I was delighted to see at the outcome of the last poll, most of the people who attended my session will now start using Azure Key Vault in their day-to-day work. In the end that's why we do it for(help or advice others).

My presentation can me found here.

Conclusion

I saw a very great event, the quality of the sessions were very high. And there was so much choice, but luckily they will be soon available to watch On-Demand.
A big round of applause to the entire organization, you have organized a fantastic event with a super nice portal, including exhibitor hall, networking, chat rooms and much more. Thank you for having me and see you next year.

 

 

Watch the MS Ignite sessions on-demand

Watch the MS Ignite sessions on-demand

MS Ignite Sessions

MS Ignite 2020 was this year a virtual event.

Most of the sessions were live in the evenings and the other sessions were available at different times in different time zones. Compliments to the MS Ignite team for organizing such a great event

Most of the sessions are ready to watch on demand. If you have not done this yet, here is the link to be able to do this.

Speaking(Virtual) at SQL Saturday #963 Denmark

Speaking(Virtual) at SQL Saturday #963 Denmark

SQL Saturday 963 Denmark

PASS SQLSaturday is a free training event for professionals who use the Microsoft data platform. These community events offer content across data management, cloud and hybrid architecture, analytics, business intelligence, AI, and more.

My first virtual event

I like to interact during my session, so I’m curious if that will work. Last week I recorded my session for SQL Bits and that is quite strange when you look back. I am really looking forward to it, my session starts at 14:30.

The complete schedule can be found here. Are there is still time to register!!

My Session

Session Title:

Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!

Session Details

Can we store our Connectionstrings or BlobStorageKeys or other Secretvalues somewhere else then in Azure Data Factory(ADF)? Yes you can! You can store these valuable secrets in Azure Key Vault(AKV). But how can we achieve this in ADF? And finally how do we deploy our DataFactories in Azure Dev Ops to Test, Acceptance and Production environments with these Secrets ? Can this be setup dynamically? During this session I will give answers on all of these questions. You will learn how to setup your Azure Key Vault, connect these secrets in ADF and finally deploy these secrets dynamically in Azure Dev Ops. As you can see a lot to talk about during this session.

Do I see you on Saturday 26th of September?

 

 

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