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Microsoft Fabric: Lakehouse vs Warehouse 

James Serra
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20 окт 2024

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Комментарии : 21   
@tomchelle1
@tomchelle1 Год назад
as an old-school EDW guy, you cut through much of the terminology fuzziness and answered several questions I had. Thank you
@tyronefrielinghaus3467
@tyronefrielinghaus3467 8 месяцев назад
Yup : the terminology fuzziness ...source of soooo much confusion, and ''wrong thinking"
@tyronefrielinghaus3467
@tyronefrielinghaus3467 8 месяцев назад
Yes, that WAS a very clear presentation : I really was confused between L and Ws. He anticipated my question of why the 2 instead of just one. We need the behind the scenes details (like this) to grok what is going on.
@jamserra
@jamserra 8 месяцев назад
Glad you found it helpful!
@vibhaskashyap8247
@vibhaskashyap8247 Год назад
Awesome content which not only explain the technical nuances but also explain the use case of Lakehouse versus Warehouse from the architecture design perspective. Enjoyed watching video and got lots of clarity. Thanks James
@kipmadden8952
@kipmadden8952 Год назад
As always, you break down what has been a source of confusion with clarity - Thanks!
@jamserra
@jamserra Год назад
Thanks for the kind words!
@f27tzn
@f27tzn Год назад
That was as clear as you could get. Thanks for the great work!
@AlistairCreenz
@AlistairCreenz Год назад
Thanks for this, it was very helpful. Showing the sql endpoint on the lakehouse editor was a revelation.
@Irmon88
@Irmon88 Год назад
Excellent content. I've been using Synapse for a while and it took me sometime to get through all the different options and limitations. This video helps clarifying a lot about Fabric. Can't wait for the book to be published. Thank you.
@JoaoMadrinhaECo
@JoaoMadrinhaECo 8 месяцев назад
That was a great explanation. Thanks for this.
@DavidZebrowitz
@DavidZebrowitz Год назад
Thank you! I was thinking that the Warehouse was more like a dedicated pool. I'm hoping it is a bit more robust than the current Synapse Serverless.. at least once we get more T-SQL support..
@Lukas_blck
@Lukas_blck 10 месяцев назад
Hi, thanks for the great content! in terms of performance of querying and transforming data, which of the two is preferred? Or does it come down to comparing Spark vs T-SQL?
@jamserra
@jamserra 10 месяцев назад
It does come down to Spark vs T-SQL, which Spark usually faster for transforming data
@aretez9501
@aretez9501 11 месяцев назад
Thanks for the explanation. It's really helpful.
@thomasgauchet6470
@thomasgauchet6470 Год назад
very clear! Thank you James
@sababag1
@sababag1 Год назад
Hi Great content - Why not to use both Warehouse and Lakehouse? for example DataBricks that uses Lakehouse and AWS-RDS for Warehouse
@sanishthomas2858
@sanishthomas2858 5 месяцев назад
Great information on this video. I have seen so many other channel and video saying bla bla about the Fabric but this video looks the most informative. guys like and subscribe for this effort
@jamserra
@jamserra 5 месяцев назад
Thanks for the kind words Sanish!
@loganathannainar4804
@loganathannainar4804 Год назад
good explanation, thank you
@NeumsFor9
@NeumsFor9 7 месяцев назад
End of the day, new warehouse FEELS almost like the serverless sql endpoint with the ability to also now write data with T-SQL in a DEFAULT DELTA format + the Polaris engine + the ability to use Snowflake like cloning to make test environments a lot easier in the same way Juan Soto should make things easier for the Yankees? 🤣
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