DP-203: 10 - Introduction to Azure Data Factory

แชร์
ฝัง
  • เผยแพร่เมื่อ 2 ก.พ. 2025

ความคิดเห็น • 41

  • @keithmutamba1395
    @keithmutamba1395 2 หลายเดือนก่อน +4

    Not only prepping a person for the cert but asserting best practices and big picture thinking. PHENOMENAL AND SENSATIONAL

    • @TybulOnAzure
      @TybulOnAzure  2 หลายเดือนก่อน +1

      Thanks! I'm glad you like it!

  • @alphar85
    @alphar85 6 หลายเดือนก่อน +8

    Hi Piotr, i came across your channel and i have been buying resources esp books on Azure data engineering but trust me your videos are so simple, eloquent and easy to understand. I am grateful for your effort. keep going and keep your smile.

  • @ihorchebotarov8487
    @ihorchebotarov8487 6 หลายเดือนก่อน

    Piotr, you're the man! Thanks for your great content. Very structured and easy to understand

    • @TybulOnAzure
      @TybulOnAzure  6 หลายเดือนก่อน

      Thanks, I'm glad you enjoyed it.

  • @ishantsagar3979
    @ishantsagar3979 7 หลายเดือนก่อน +1

    This is a really good and helpful video. Couldn't thank you much.
    I am a newbie trying to get into data engineering. I will try my best to make out of this playlist.
    Thanks and please keep up the good work. :)

    • @TybulOnAzure
      @TybulOnAzure  7 หลายเดือนก่อน

      Glad it was helpful!

  • @prabhuraghupathi9131
    @prabhuraghupathi9131 10 หลายเดือนก่อน

    Good overview to ADF !! Thank you!!

  • @HamzaBray
    @HamzaBray หลายเดือนก่อน

    Super Introduction do Azure Data Factory & Data Ingestion;

    • @TybulOnAzure
      @TybulOnAzure  หลายเดือนก่อน

      Glad it was useful!

  • @rafaelvieira2003
    @rafaelvieira2003 8 หลายเดือนก่อน

    the hierarchy is different from the one you brilliant teached in the last video "Data Lake Structure". First domain, then source system. Thank you!

  • @PrajeshTX
    @PrajeshTX 3 หลายเดือนก่อน

    Hi Piotr,
    I understand creating a dataset is a good practice but I have seen production level pipelines with copy activity directly connected to SQL on prem databases. When is that a dataset is a must?
    Thanks,
    P

    • @TybulOnAzure
      @TybulOnAzure  3 หลายเดือนก่อน

      Always. How was this pipeline configured that it wasn't using any dataset?

    • @PrajeshTX
      @PrajeshTX 3 หลายเดือนก่อน

      @@TybulOnAzure Sorry my bad, I was looking for dataset as an activity (similar to copy activity, etc) which you place somewhere on the pipeline but now understand that dataset is like a configuration.

  • @pavara.maddumage
    @pavara.maddumage ปีที่แล้ว +1

    Hi Tybul, I got to know that the Microsoft role based and specialty exams are now open book exam since August update. Any tips for how to use Microsoft Learning efficiently while facing the exam? Thank you!

    • @TybulOnAzure
      @TybulOnAzure  ปีที่แล้ว

      I would advise to use MS Learn for exam preparation so during the exam you will be familiar with it and you would know what to look for, where and how.
      The great thing about this change is that no longer you will have to memorize everything - it will be enough to know that some feature exists and you will just find details in MS Learn.

  • @omarouaissi_sekouti4579
    @omarouaissi_sekouti4579 2 หลายเดือนก่อน

    Hey Piotr,
    Thanks for the great explanation,
    In the video, you mentioned that we use ADF for data ingestion and orchestration of activities. Could you clarify why we don’t use it for data transformation as well, given that ADF includes several components designed for transformation?

    • @TybulOnAzure
      @TybulOnAzure  2 หลายเดือนก่อน

      We can use it for transformations (it is covered later), but there are other tools that simply do it better.

    • @omarouaissi_sekouti4579
      @omarouaissi_sekouti4579 2 หลายเดือนก่อน

      ​@@TybulOnAzure Thanks for the detailed answer!
      I have a another question: You previously mentioned that we use a staging (landing) area in ADLSg2 to create a copy of the data from the source. Could you clarify what an ODS is and why it differs from the staging area?

  • @mdshohidurrahman
    @mdshohidurrahman 9 หลายเดือนก่อน +1

    U r the best.

  • @zouhair8161
    @zouhair8161 ปีที่แล้ว

    i have a question : do you have loading adventureworks db before the episode or it is a db provided by azure like a demo???

    • @TybulOnAzure
      @TybulOnAzure  ปีที่แล้ว +1

      It is a sample database available from Azure - that's why I used "Sample" option when provisioning an Azure SQL DB.

    • @zouhair8161
      @zouhair8161 ปีที่แล้ว

      @@TybulOnAzure thank u

  • @dmitryzvorikin
    @dmitryzvorikin 6 หลายเดือนก่อน

    Thank you very much. I have wasted quite a some time because I chose the Ms Entra ID authentication and went digging into parameters because I could not switch the created server back to SQL auth. Seems possible only by destroy/create. Beware!

  • @soumikmishra7288
    @soumikmishra7288 7 หลายเดือนก่อน

    So, Synapse Studio in Azure Synapse Analytics and ADF are same? they look very similar.

    • @TybulOnAzure
      @TybulOnAzure  7 หลายเดือนก่อน

      Synapse pipelines is pretty much the same thing as ADF.

  • @smbs47
    @smbs47 ปีที่แล้ว

    For ZoomIt, you might be able to click the right mouse key twice instead of using the Escape key. Ctrl-1 might also work.

    • @TybulOnAzure
      @TybulOnAzure  ปีที่แล้ว

      Thanks! I'll definitely try that.

  • @rkneti
    @rkneti ปีที่แล้ว

    Great tutorial Piotr! Do you have any plans of doing videos on Microsoft Fabric?

    • @TybulOnAzure
      @TybulOnAzure  ปีที่แล้ว +5

      Thanks! Yes, at some point I'll cover Fabric but I don't know yet when it would be. Maybe I'll make a separate playlist about Fabric that will be a kind of appendix to DP-203. Time will tell.

  • @vaibhav8257
    @vaibhav8257 6 หลายเดือนก่อน

    Hi Piotr,
    I wanted to know exactly what is a dataset and what is its role?
    I have watched carefully in the video and it is still not clear to me.....
    Also Your content is extremely Good, thanks for it

    • @TybulOnAzure
      @TybulOnAzure  6 หลายเดือนก่อน +1

      Dataset represents the layout of your data and its properties. Let's assume that you want to load customers from:
      a) SQL database,
      b) CSV file.
      In both cases you would have a dataset that represents your customers so it would have the schema (columns and data types). However, depending on source of your data (db or file), you would have additional properties set in the dataset:
      a) For SQL DB - name of source table,
      b) For CSV file - path to the file, column delimiter, row delimiter, encoding, quote character, etc.

    • @vaibhav8257
      @vaibhav8257 6 หลายเดือนก่อน

      @@TybulOnAzure got it! Thank you 😊

  • @zouhair8161
    @zouhair8161 ปีที่แล้ว

    ♥♥♥♥♥

  • @jonasr1504
    @jonasr1504 8 หลายเดือนก่อน

    Topman:)

  • @sanjaybondili
    @sanjaybondili 3 หลายเดือนก่อน

    what a co-incidence the practicle shows in the video same date n month as 20 th Oct except year (2023) doing in 2024. 😀

    • @TybulOnAzure
      @TybulOnAzure  3 หลายเดือนก่อน

      Yup, it's been already a year since I recorded it. Time flies.

  • @mgdesire9255
    @mgdesire9255 5 หลายเดือนก่อน

    Same pinch 42:37😂

  • @LATAMDataEngineer
    @LATAMDataEngineer 10 หลายเดือนก่อน

    thanks.