Azure Data Factory, Azure Databricks, or Azure Synapse Analytics? When to use what. - Lisa Hoving

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  • Опубліковано 27 лис 2024

КОМЕНТАРІ • 20

  • @TeferiHagos
    @TeferiHagos Рік тому +1

    One of the best UA-cam videos I have ever watched. Now, I understand the difference between these 3. Great job, teacher!

  • @geojbarros
    @geojbarros Рік тому +2

    I did love your explanation about the differences between these three environment, Lisa. It clarified a lot of doubts that I had in my mind about it. Thanks a lot.

  • @jyotirdas6326
    @jyotirdas6326 4 місяці тому +1

    very nicely explained , thankyou so much...

  • @carloscantu75
    @carloscantu75 Рік тому +1

    Just the content I was looking for, thanks for sharing in such a clear and concise way!

  • @datacraftersrd970
    @datacraftersrd970 Рік тому +1

    Awesome explanations. Thanks, Lisa Hoving

  • @wasimx6707
    @wasimx6707 Рік тому +1

    Thank you for sharing It really helped me to understand the difference between these 3 ☺️☺️

  • @chandrasekhar1883
    @chandrasekhar1883 Рік тому +1

    Very helpful. Thank you so much

  • @davidk4682
    @davidk4682 Рік тому +2

    Thank you Lisa, that was essentially a master class on the differences. Excellent. How does Snowflake compare? (separate video probably and also depends on the use case of course). Thank you again for this information. Job well done.

  • @demirel16
    @demirel16 Рік тому +1

    Great presentation. Thanks

  • @jackmaguina8480
    @jackmaguina8480 Рік тому +1

    Well donde. Thank you Lisa

  • @srinathp4486
    @srinathp4486 Рік тому +1

    thank you lisa from india🙏

  • @bijosn
    @bijosn Рік тому +1

    Hi, my name is Henk, nice to meet you

  • @theitpro4688
    @theitpro4688 Рік тому +1

    nice course

  • @dans4786
    @dans4786 Рік тому +1

    Isn't it true now that it's not necessary to know Spark for Databricks? I thought the transactional layer abstracts away the need to write Spark code and instead provides options to use SQL or Python.

    • @LisaHoving
      @LisaHoving Рік тому +2

      Hi Dan, in many ways, you can view Apache Spark as a package. We can program it with Python, Scala, and many other languages. So, even though you can program Python in Databricks, just Python is not enough, unfortunately. We also need the powers of Apache Spark! However, if you already know Python, Apache Spark is just onee step away :)
      And, even though it's technically true you can program SQL in Databricks, I do find that the SQL language by itself does not offer enough flexibility for most use cases. But, to be fair, some people are much more handy with SQL than me, haha!

  • @saktibiswal6445
    @saktibiswal6445 Рік тому +1

    Isn't Intercept a pharma company?

    • @LisaHoving
      @LisaHoving Рік тому

      it's a Microsoft partner 😄

  • @EMoscosoCam
    @EMoscosoCam Рік тому

    What about using a VM with SSIS inside? Thanks.

  • @dans4786
    @dans4786 Рік тому

    Isn't it true now that it's not necessary to know Spark for Databricks? I thought the transactional layer abstracts away the need to write Spark code and instead provides options to use SQL or Python.

    • @artus198
      @artus198 Рік тому

      I think Spark is very similar to python in Syntax... I think people use a combination of Spark and SQL in a given Notebook in Databricks.