Lakehouse VS Warehouse VS Datamart The Difference Between The Three Fabric Objects

  Рет қаралды 25,504

RADACAD

RADACAD

Күн бұрын

Three types of objects in the Microsoft Fabric have similarities in what they can do for an analytics system. These three are; Lakehouse, Data Warehouse, and Power BI Datamart. All three objects provide storage for the data, which can be loaded into them using an ETL process and read using something like a Power BI report. In this article and video, I'll explain the actual differences and how to choose the best option for your implementation and architecture.
Read my article about it here:
radacad.com/la...

Пікірлер: 27
@oscarzapatajr2
@oscarzapatajr2 Жыл бұрын
By the way Reza, I believe you are doing a fantastic job covering fabric content... I follow quite a few Power BI KZbin channels and I believe your coverage on fabric is first class 👌
@RADACAD
@RADACAD Жыл бұрын
It is awesome to hear that Oscar! Thanks :)
@ranjanroy1623
@ranjanroy1623 Жыл бұрын
Very Informative as always Reza, Looking forward for next session I would also learn a bit more around Direct Lake and what it offers .If you have any links/ sources about Direct Lake pls share ! One more thing, your video picture is hiding certain details on the presentation page , especially on the comparison table chart , I've learned a lot today from this session, many thanks
@MrRskpsannaksr
@MrRskpsannaksr Жыл бұрын
This is of great help I had a dilemma of what need to be purchased for our organization and the explanation from a persona perspective helped a lot!! Thanks a ton
@RADACAD
@RADACAD Жыл бұрын
Glad it was helpful!
@rossgh76
@rossgh76 11 ай бұрын
Thank you Reza for providing a clear overview of Fabric
@oscarzapatajr2
@oscarzapatajr2 Жыл бұрын
Thanks, this was really helpful, Reza, I have a question, if I am a Powerbi power user who want to explore the Data Science space, I guess the lakehouse is the best choice right? I can manage the ETL to the lakehouse via dataflows (power query online) because I already know how to use it and I work with small data, and then leverage the Spark notebooks and AutoML for data science or ML practices right? Once the results of the data Science predictions are on a column or a table in the lakehouse I can also incorporate those to the Powerbi reports via the direct lake connection correct? I am really excited for this, fabric seems to give small companies and Powerbi power users the opportunity to explore Data Science in a integrated and simplified framework... Also, it seems cost competitive using F2 for about $300 a month plus maybe 3-5 powerbi pro license s... What do you guys think?
@RADACAD
@RADACAD Жыл бұрын
For a Data Scientist persona, yes, we think also that the Lakehouse would provide more benefits. the ability to work with Notebook is a big help for sure. and the Power BI side would also works great with the SQL endpoint of it. Yes, pricing for F2 is great :)
@asn85uk
@asn85uk Жыл бұрын
Rezajan thanks for the review. just to be on the secure side, can we use fabriw synapse dw instead of azure dw ? my company in the way of full migration and would be great to know
@RADACAD
@RADACAD Жыл бұрын
Yes, you can And in the future that would be your only option, to do it from Fabric
@tahseenfiroz4243
@tahseenfiroz4243 Жыл бұрын
Does it work for all the tenant? Like Torus etc
@standardio8270
@standardio8270 Жыл бұрын
Good explanation. It was very clear. Thanks.
@RADACAD
@RADACAD Жыл бұрын
Glad it was helpful!
@BernardoRomeroC
@BernardoRomeroC Жыл бұрын
Great explanation Reza. I'll use the analogy to the cars often
@RADACAD
@RADACAD Жыл бұрын
Glad to hear it makes sense. Thanks Bernardo
@CarlosMunoz-zz6qm
@CarlosMunoz-zz6qm Жыл бұрын
There is no way to explain it better, greetings from Chile
@RADACAD
@RADACAD Жыл бұрын
thanks for your kind words. Cheers
@yupity
@yupity Жыл бұрын
this is great, can you add KQL db?
@RADACAD
@RADACAD Жыл бұрын
We'll have videos about KQL database soon
@dumisaralane
@dumisaralane Жыл бұрын
Love it!
@rashidanwar7831
@rashidanwar7831 Жыл бұрын
Very helpful! Thank you and keep up the good work!
@RADACAD
@RADACAD Жыл бұрын
Glad it helped!
@VirtousStoic
@VirtousStoic Жыл бұрын
❤tyvm you helped my career so much
@ajmorgan591
@ajmorgan591 Жыл бұрын
Does that microphone actually work or is it just for show? I've always wondered because of the room echo.
@RADACAD
@RADACAD Жыл бұрын
That is the microphone recording the voice in all the videos.
@VirtousStoic
@VirtousStoic Жыл бұрын
I like ur skeleton glasses more. Ofc wear what makes you happy, just voting hehe
@RADACAD
@RADACAD Жыл бұрын
I like that one too :D
Microsoft Fabric Notebook   What and Why
13:53
RADACAD
Рет қаралды 10 М.
Data pipeline vs Dataflow vs Shortcut vs Notebook in Microsoft Fabric
31:16
Learn Microsoft Fabric with Will
Рет қаралды 19 М.
Players vs Corner Flags 🤯
00:28
LE FOOT EN VIDÉO
Рет қаралды 75 МЛН
小丑妹妹插队被妈妈教训!#小丑#路飞#家庭#搞笑
00:12
家庭搞笑日记
Рет қаралды 38 МЛН
Cute
00:16
Oyuncak Avı
Рет қаралды 12 МЛН
规则,在门里生存,出来~死亡
00:33
落魄的王子
Рет қаралды 25 МЛН
Data Warehouse vs Data Lake vs Data Lakehouse
9:32
Jesper Lowgren
Рет қаралды 47 М.
Advancing Fabric - Lakehouse vs Warehouse
14:22
Advancing Analytics
Рет қаралды 25 М.
Microsoft Fabric and Power BI - Developer of the Future⚡ [Full Course]
1:31:50
Power BI Datamart - What, How and Why?
19:23
SQLBits
Рет қаралды 6 М.
Microsoft Fabric Licensing   An Ultimate Guide
17:17
RADACAD
Рет қаралды 21 М.
Microsoft Fabric: Data Warehouse vs Lakehouse vs KQL Database
30:18
Learn Microsoft Fabric with Will
Рет қаралды 18 М.
Learn the Fundamentals of Microsoft Fabric in 38 minutes
38:00
Learn Microsoft Fabric with Will
Рет қаралды 168 М.
Microsoft Fabric: Lakehouse vs Warehouse
30:59
James Serra
Рет қаралды 15 М.
Data Lakehouses Explained
8:51
IBM Technology
Рет қаралды 91 М.
Players vs Corner Flags 🤯
00:28
LE FOOT EN VIDÉO
Рет қаралды 75 МЛН