Azure Data Factory Mapping Data Flows Tutorial | Build ETL visual way!

[@atlanticoceanvoyagebird2630]

Hi Adam: I am 76 years old and also very new in this technology of ETL which I got now clear. Keep on developing this kind of professional projects to be used in the resume preparations.

[@bifurcate-ai]

Adam, I have been watching many of your videos. As someone new to Azure, i find your videos immensely valuable. Keep up your great work, really appreciate!

[@AdamMarczakYT]

Awesome, thank you!

[@waklop4384]

Just discovered the channel. Your material is hight quality. It's excellent work. I will go watch more. Thank you Adam !

[@AdamMarczakYT]

Thank you. This means much :)

[@pradeeps3671]

Hello Adam, pls let me know how to connect to dynamic crm .. Pls send detail to [e-mail]

[@hovardlee]

-1979 and ,12 This is why complex logic is needed. Nice tutorial :)

[@notonprem]

This is quality stuff. Good for a quick upskill especially when prepping for an interview.

[@eramitgoswami]

Your way of explaining is outstanding, after watching it feel like Azure is very easy to learn. kindly keep sharing good videos Thank You..

[@AdamMarczakYT]

Thanks a ton :)

[@aarontian5979]

Your channel is totally underrated, man

[@subhodipsaha7608]

I just find your videos while searching for ADF tutorials in youtube. The materials are fantastic and really helping me to learn. Thank you so much!!

[@AdamMarczakYT]

Happy to help! :)

[@susanmyers1]

@ Work I'm having to build out a Data Mart with no training on my own. You are literally saving my hide with your videos. THANK YOU!

[@AdamMarczakYT]

Glad to help! :)

[@dimitarkrastev6085]

Great video! Most videos seem to focus mostly on the evertisement material straight from Azure. At best they show you the very dumb step of copying data from a file to DB. This is the first video I saw where you actually show how you can do something useful with the data and close to real life scenario. Thank you.

[@joshuaodeyemi3098]

I love you, Adam! I have been struggling with using expression builder in Data Flow. I can't seem to figure out how to write the code. This video just made it look less complex. I'll be devoting more time to it.

[@yashmeenkhanam3451]

Outstanding !You just made Azure easy to learn. Thank you.

[@AdamMarczakYT]

Awesome, thank you!

[@johnfromireland7551]

ADF is but just one part of about 100 significant tools and actions in Azure. :-(

[@CallousCoder]

Hi Adam, is it possible to create these pipelines as code as well? Or somehow create them from my actual Azure pipeline? It would be sheerly insane (but it is a Microsoft product) to require and maintain two pipeline one that’s yiur Azure pipeline for CI and CD and one for the ADF. I really would want the Azure pipeline to be able to fill/create the ADF pipeline. But I haven’t found anything yet.

[@gunturchilli767]

Thanks you so much Adam. I was able to crack an interview with the help of your videos. I prepared notes according to your explanation & 3 hrs before the interview i watched your videos again it helped me alot

[@AdamMarczakYT]

Fantastic!

[@alanzhao8074]

The best video about Azure Data Flows I can find. Thank you Adam!

[@AdamMarczakYT]

Wow, thanks! :)

[@icici321]

I am new to data and ETL stuff but your video's are too good. Excellent examples and very clear explanation so anyone can understand. Thanks very much.

[@AdamMarczakYT]

Thank you, always happy to help!

[@lavanyay2767]

very very detailed work flow , i tried this and able to understand Data flow process so easily . Thank you for the wonderful session.

[@omarsantamaria6871]

Awesome video. I've seen a lot of site & videos and they are so complicated, but all yours are very crystal and anyone can understand.

[@AdamMarczakYT]

Thanks Omar :)

[@Lego-tech]

Very crisp and clear information, I watched many videos but Adam's contents are awesome!! Thanks dear!! All the best for future good work!!

[@AdamMarczakYT]

Thank you so much 🙂

[@soumikdas7709]

Your videos are very informative and practical oriented. Keep doing .

[@AdamMarczakYT]

Thank you, I will!

[@Cool2kid]

Your video content is awesome!!! Your video is very useful to understand Azure concept specially for me who just started Azure journey. I would like to have one video where we can see how to deploy code from Dev to QA to Prod. How to handle connection string, parameter etc during deployment. thanks again for wonderful video content.

[@AdamMarczakYT]

ADF CI/CD is definitely on the list. It's a bit complex topic to get it right so it might take time to prepare proper content around this. Thanks for watching and suggesting ;)

[@BijouBakson]

It must be very challenging to do all this thing in English for you I imagine, Adam! Congratulations for pushing through despite the difficulty. 🙂

[@fadiabusafat5162]

Nice one Adam. Cool one. Keep doing fabulous videos always fella. Many THanks.

[@Haribabu-zj4hd]

So nice of your talent explaining the data flow in simple way. Thank you so much Mr.Adam.

[@sameerdongare1113]

Another awesome video. The best part of Mapping Data Flow was the Optimization...where we could do Partitioning.

[@AdamMarczakYT]

Thank you! Glad you like it :)

[@SIDDHANTSINGHBCE]

These videos are great. Helping me so much! Thanks Adam

[@AdamMarczakYT]

Glad you like them!

[@Raguna]

Very good explaining the Data Flow. Thanks Mr.Adam.

[@grzegorzz4025]

Adam, great tutorial! Kudos!

[@AdamMarczakYT]

Glad you liked it!

[@chandrasekharnallam2578]

excellent explanation with simple scenario. Thank you.

[@AdamMarczakYT]

Glad it was helpful!

[@generaltalksoflife]

Hi Adam, Thank for helping us in learning new technologies. You are awesome 👌🏻👌🏻👌🏻👏👏.

[@AdamMarczakYT]

My pleasure!

[@shantanudeshmukh4390]

Wow ! Fantastic explanation.

[@AdamMarczakYT]

Glad you liked it!

[@mohmmedshahrukh8450]

best video on azure I have ever seen❤❤

[@MrVivekc]

very good explanation Adam. keep it up.

[@AdamMarczakYT]

Thanks, will do!

[@MrVivekc]

@@AdamMarczakYT Adam do we have trail version of Azure for Learning purpose?

[@achraferraji3403]

Amazing Video, we want other parts !

[@JoeandAlex]

Brilliant way of explanation

[@JoeandAlex]

Subscribed to your channel

[@AdamMarczakYT]

Thank you, appreciated 🙏

[@rqn2274]

Nice video Adam. Professional as always

[@AdamMarczakYT]

Wow, thanks!

[@techBird-b2m]

👍 Its amazing , Practical implementation of Data Flow.

[@hrefname]

Thank you so much for this. I subscribed immediately, very informative and straightforward azure info. Will definitely recommend your channel. Keep up the great work!

[@AdamMarczakYT]

Awesome, thank you!

[@arulmouzhiezhilarasan8518]

Impeccable to know reg Mapping Data Flow, Thanks Adam!

[@AdamMarczakYT]

My pleasure!

[@subhraz]

Very well explained and demonstrated. Really helpful to get started with Data flows.

[@balanm8570]

As useful another Awesome video Adam !!!. Excellent. It was to the POINT !!!. Keep up the good work which you have been doing for plenty of users like me. Eagerly waiting for more similar videos like this from you !!!. Can you please have some videos for Azure Search ...

[@AdamMarczakYT]

Thank you so very much :) Azure Search is on the list but there is so many news coming from Ignite that I might need to change the order. Let's see all the news :).

[@ngophuthanh]

Thank you, Adam. As always, you rock.

[@valentinnica6034]

that was actually not so hard. thanks man, you're awesome.

[@AdamMarczakYT]

No! you are awesome! :)

[@bharatruparel9424]

Hello Adam, I just finished this video. Very well done indeed. Thanks and regards. Bharat

[@AdamMarczakYT]

Thanks Bharat :)

[@abhijitk7363]

Adam, Thanks for this excellent video. You explained almost every feature available there in data flows. Looking forward a video on Azure SQL DWH. I know it will be great to learn about it from you.

[@AdamMarczakYT]

Glad it was helpful! I'm just waiting for new UI to come to public preview then the video will be done :)

[@avinashbasetty]

Features are very interesting. want to try with the different partitioning techniques. Thank you for sharing such amazing stuff

[@AdamMarczakYT]

My pleasure! Thanks! :)

[@GiovanniOrlandoi7]

Great video! Thanks Adam!

[@AdamMarczakYT]

My pleasure!

[@KarthikeshwarSathya]

This was explained very well. thank you.

[@AdamMarczakYT]

You're very welcome!

[@Montreal_powerbi_connect]

Wow,I like your video, I did it today. and I had good result. thanks for your good explanation.

[@AdamMarczakYT]

Great job! Thanks!

[@sarahaamir7457]

Thank you so much Adam! this was very clear and great video and a big help for my interview and knowledge.

[@AdamMarczakYT]

Very welcome! Thanks for stopping by :)

[@sapecyrille5487]

Great! You are the best Adam.

[@wojciechjaniszewski9086]

very well done on explaining principles of mapping data flows!!!

[@AdamMarczakYT]

Thanks a lot!

[@paulnelson1623]

For anyone wondering how to make the year check (or any check) in the second step more robust, you can exchange the following expressions using the 'case' expression as used below which says, if this expression evaluates as true, do this, else do something else. Worth nothing here that in the first expression, there is only a true expression provided while the second expression has both true and false directives. As per the documentation on the 'case' expression: "If the number of inputs are even, the other is defaulted to NULL for last condition." /* Year column expression */ /* If the title contains a year, extract the year, else set to Null */ case(regexMatch(title, '([0-9]{4})'),toInteger(trim(right(title, 6), '()'))) /* title column expression*/ /* If the title contains a year, strip the year from the title, else leave the title alone */ case(regexMatch(title, '([0-9]{4})'),toString(left(title, length(title)-7)), title)

[@AdamMarczakYT]

Thanks Paul :) I used as simple example as possible for people who aren't fluent in scala but of course you always need to cover all possible scenarios. Sometimes I like to fail the transformation rather than continue with fallback logic as I expect some values to be present.

[@paulnelson1623]

@@AdamMarczakYT Of course, I just wanted to see if I could take it a step further to align more closely with what would be needed in a production data engineering scenario and thought others may have the same idea. Thanks for the content! :)

[@AdamMarczakYT]

Thanks, I bet people will appreciate this :)

[@carlossalinas8497]

Adam you have an ability at explaining complex things, this tutorial made my day, thanks

[@AdamMarczakYT]

Glad it helped! Thanks!

[@lowroar5127]

So helpful! Thank you very much Adam!

[@dintelu]

Wow..lucid explanation..

[@AdamMarczakYT]

Glad you think so!

[@NehaJain-ry9sr]

Awesome videos Adam, your videos are great help to learn Azure. Keep it up :)

[@AdamMarczakYT]

Thanks, will do!

[@rajanarora6655]

Your videos are really great and helped me understand lot of concepts of Azure. Can you please make one using SSIS package and show how to use that within Azure Data Factory

[@isurueranga9704]

best tutorial ever... 💪🏻💪🏻💪🏻

[@549srikanth]

I would say this is the best content I've seen so far!! Thank you so much for making it Adam! Just wondering, is there a Crtl+Z or Crtl+Y command in case we did some changes in the dataflow and restore it to previous version?

[@AdamMarczakYT]

Awesome, thanks! Unfortunately not, but you can use versioning in the data factory which will allow you to revert to previous version in case you broke something. Highly recommended. Unfortunately not reverts for specific actions.

[@549srikanth]

@@AdamMarczakYT Excellent!! Thank you so much for your reply!

[@johnfromireland7551]

@@549srikanth I publish each time I create a significant new step in the pipeline and I use data preview before moving on to the next step. Also, you can , I think, export the code version of the entire pipeline. Presumably you can, then, paste that into a new Pipeline to resurrect your previous version.

[@DrDATA-ep6mg]

Very nice tutorial 👍

[@AdamMarczakYT]

Thank you! Cheers!

[@RahulRajput_018]

Thanks buddy ...Great work

[@AdamMarczakYT]

My pleasure

[@rahulkota9793]

Very useful. Thank you so much.

[@AdamMarczakYT]

Glad it was helpful!

[@eddyjawed]

Thank you Adam Dzienkuje, this is a great tutorial.

[@niteeshmittal]

Adam, Your content is always easy to grab, excellent work mate. Could you please explain how to create a pipeline which has a copy activity followed by a mapping data flow activity.

[@AdamMarczakYT]

Thanks, just drag and drop copy activity and data flow blocks on the pipeline and drag a line from copy to data flow activity.

[@naveenkumar-tb1de]

Hi Adam, please add some more contents about new features of dataflow, it's your channel only where I see azure add, no one teaches better than you do as I have compared with many channels.

[@AdamMarczakYT]

Thank you! What kind of features would you think would be interesting to see?

[@arun06530]

nice & detailed video.

[@AdamMarczakYT]

Thank you!

[@yashgemini4024]

Appreciate you content. Thanks.

[@AdamMarczakYT]

My pleasure! :)

[@javm7378]

I really like your tutorials. I have been looking for a "table partition switching" tutorial but haven't found any good ones. May be you could do one for us? I am sure it'll be very popular as there aren't any good ones out there and it is an important topic in certifications :-)

[@nick6s]

Excellent tutorials

[@Lakshmi-y4x]

Thank you, very helpful tutorials

[@sharmilashrestha5449]

Adam, your tutorial are very simple to follow and provides lot of insight. However, I could not set up my data flow in the way I wanted. What I want to do is -> Get a list of integer from Table 1 (on-prem SQL server) -> Use this list of integer to query a cosmos structured stream -> Then I want to perform some transformation with the data returned from this cosmos stream -> sink transformed data back to Table 2 (on-prem SQL server). However, I do not see my source datasets on the data flow drop down. Any help would be appreciated.

[@AdamMarczakYT]

Make sure to check if you use supported data source types docs.microsoft.com/en-us/azure/data-factory/data-flow-source?WT.mc_id=AZ-MVP-5003556

[@horatiohe]

thanks for the great content!! you are the man :)

[@AdamMarczakYT]

I appreciate that!

[@khushbookumari-pc2xw]

Please also explain how to use data analytics in pipeline flow. This is best content . Thank u so much

[@AdamMarczakYT]

Thanks you. As to your question can you elaborate on data analytics part? What exactly would you like to see.

[@khushbookumari-pc2xw]

Anything like how to make function or procedure and how to use this in pipeline to execute .basic flow of pipeline by using analytics.

[@AdamMarczakYT]

Hey, I do plan to have implementation videos like this in future. Although pipeline of videos is long so I can promise anything right now. I added this to the list of potential topics :) thanks!

[@khushbookumari-pc2xw]

okay, Thanks

[@Rafian1924]

Lovely bro!!

[@AdamMarczakYT]

Thanks 🔥

[@skybluelearner4198]

Good explanation there.

[@harshapatankar484]

Amazing videos.

[@AdamMarczakYT]

Glad you think so! :)

[@RC-nn1ld]

Love these videos so easy to understand, do you have a video on new XML connector

[@AdamMarczakYT]

Great, thanks! Not yet, maybe in near future :)

[@biswajitsarkar5538]

Thanks Adam !! very informative video.Liked it a lot..

[@AdamMarczakYT]

Thanks and you are most welcome! Glad you hear it.

[@samb9403]

Great video. Question: Under "New Datasets", is there a capability to drop data into Snowflake? I see S3, Redshift, etc. I appreciate the video and feedback!

[@JohnJohnson-bs4cw]

Great Video. Can you use data from a REST Api as a source for a Mapping Data Flow or does the source have to be a dataset on Azure?

[@AdamMarczakYT]

Here is the list of supported data sources for MDF docs.microsoft.com/en-us/azure/data-factory/data-flow-source?WT.mc_id=AZ-MVP-5003556 . Just copy data from REST API to Blob and then start MDF pipeline using that blob path as a parameter.

[@jayong2370]

Thank you Adam.

[@yashnegi9473]

Video is excellent. I want to know the problem statement which Data flow is solving?

[@anubhav2020]

Hello Adam, thanks a bunch for this excellent video. The tutorial was very thorough and anyone new can easily follow. I do have a question though. I am trying to replicate an SQL query into the Data Flow, however, I have had no luck so far. The query is as follows: Select ZipCode, State From table Where State in ('AZ', 'AL', 'AK', 'AR', 'CO', 'CA', 'CT'...... LIST OF 50 STATES); I tried using Filter, Conditional Split and Exists transforms, but could not achieve the desired result. Being new to the Cloud Platform, I am having a bit of trouble. Might I request you please cover topics like Data Subsetting/Filtering (WHERE and IN Clauses etc.) in your tutorials. Appreciate your time and help in putting together these practical implementations.

[@tenghover]

Would you plan to make video for introduction of each transforamtion components? Thanks

[@gursikh133]

Adam, FOr using transformation do I need to learn scala. Or just refer the documentation you specified for scala functions and write the transformation?

[@AdamMarczakYT]

Documentation should be enough. MDF is targeting simple transformations so in most cases documentation alone will suffice.

[@dataintelligence6262]

Great job! Thanks for all

[@AdamMarczakYT]

Thank you too!

[@rohangarg6843]

Great video Adam. What is the difference between Data Flow and Copy Activity within pipeline. When shall we go for Data flow creation instead of copy activity ?

[@AdamMarczakYT]

Copy Activity just moves data in 1:1 fashion (or a subset of column). Data flow allows for data transformations/joining/aggregations of multiple input/outputs in a single step.

[@rosszhu1660]

A quick question, Azure dataset seems only support already structured data, like CSV or JSON, what if my datasource is an unstructured text file that must be transformed into csv before being used? Is there a way to do this transformation (possibly python code) in data factory?

[@AdamMarczakYT]

Hey, you can call azure databricks which can transform any file using Python/Scala/R etc. But data factory itself can't do it.

[@rosszhu1660]

@@AdamMarczakYT Got it. Thanks a lot! It looks like I have to learn Spark :-)

[@jayakrishna9153]

very good explanation..keep doig

[@AdamMarczakYT]

Thanks. Will do.

[@TheLastBeat2]

Hi Adam, so glad I found your channel. Your videos were a big help for achieving the AZ900 certificate. Now I am studying a lot to uplift my knowledge and get the Azure data engineer certificate. However, I have an important question! Data flows are expensive, sometimes clients don’t want to use this, are there alternatives to achieve the same result in azure data factory? Thank you very much!

[@AdamMarczakYT]

Well you can't have the cookie and eat the cookie :) In my opinion it's not that expensive compared to other available tools.

[@TheLastBeat2]

@@AdamMarczakYT True! I am currently struggling with csv files that sometimes have extra spaces after the words in the header, this then gives error when doing a copy activity to Azure SQL Database. Do you have any idea to make my flow a bit more flexible so that it can deal with this? It needs some trimming in the header

[@TheLastBeat2]

I thought of doing a SELECT in a dataflow to then change to the correct header titles, but for this I need to know where the spaces will be in the future. So also not flexible.

[@KkrDs97]

instead of scala functions is there a way we can use the pyspark functions for debug, BTW these are great videos thankyou

[@AdamMarczakYT]

Unfortunately not at this time. if you need more complex constructs or different languages you need to use Databricks or HDInsight :)

[@kevinabraham92]

Nice video. Just curious. Can you explain toInteger(trim(right(title,6),'()')) in detail please. Like how this command executes?

[@sudarshanbhattacharjee4411]

Thanks for such good video

[@mikem8915]

Outstanding.

[@AdamMarczakYT]

Thanks Mike ;)

[@mangeshxjoshi]

hi , does Azure Data factory can be used to Replace IBM DataStage Mappings transformation. as ibm datastage is a etl tool and azure data factory is a managed data integration service on cloud. does azure data factory supports only blob storarage , azure cosmos db (sql api) , azure data lake storage , azure sql data warehouse azure sql database only ? Apart from these , does Azure Data factory connects to SAP HANA , SAP bw , oracle . are there any connectors being used to pull data from other sources like SAP hana ,oracle etc

[@AdamMarczakYT]

Hey, in general ADF has 80+ connectors, including SAP and Oracle. You use those to copy data from those sources to blob storage and then trigger mapping data flow pipeline to get data from blob storage (or data lake), transform it and output it back to blob (or one of supported output systems). Where ADF copies it to designated place.

[@jagadeeshpinninti3456]

can you please explain who to connect source dataset from azure data lake storage gen 2 tables in data flows of Azure data factory?

[@AdamMarczakYT]

It's the same as blob storage, just create linked service and select Azure Table Storage and create dataset for it. Not that this is not supported for Mapping Data Flows.

[@chsrkn]

Features are very interesting and thanks for your clear explanation , could you explain bit more reusable data flows , I mean to use same data flow for multiple tables/files like reusable pipelines.

[@AdamMarczakYT]

Thanks for suggestion, I will try to make video on data flow parametrization in the future. Thanks for watching :)

[@abu1479]

Adam, excellent presentation of ADF concept. I find all your videos really helpful in understanding the ADF concept. One question in regards to the sink dataset in dataflow, how can I create dynamic folder in my blob storage based on the year, month and day when this dataflow was triggered?

[@AdamMarczakYT]

Depends on what do you want to achieve. You can either set partitioning by date column which will split the data by date. Or if you want to put entire dataset in one folder using date then use formatDateTime expression like formatDateTime(utcNOw(), "yyyy/MM/dd") as path.

[@nidhisharma-rb7nx]

Adam, great video.I m new to Data Flow and I have one doubt, I want to implement File level checks in Data Flow but not able to do it. All tasks are performing data level checks like exist or conditional split. Is it possible to implement File level check like whether file exist or not in storage account?

[@desparadoking8209]

Thanks for the informative and detailed video adam, 😊👌. Your content is practical. Can you make a video on how load the data from Oracle table to azure data factory? It would be helpful for audiences.

[@AdamMarczakYT]

Thanks! That's the plan :)