You should do more "data tutorials" in Azure because you explain very well all the available tools and what is their use.

You seem to read my mind. Every time I look for something there is a video of you explaining. Thanks

I have watched entire videos dedicated to discussions on ETL VS ELT, but haven't been able to grasp the difference. This is the first time it really clicks for me, even though it was not even the main purpose of the video. Thank you!

Another great video to make our life as a learners better. Thank you John.

I am preparing about different data services for 305, and the moment I keep the book down, I forget the overlaps between say like Stream Analytics and Synapse Analytics. DataLake vs others. When I search on KZfaq, I am always overjoyed and more of a relief when I find you have made a video on that topic. Now I plan to grab a cuppa and come back and hit the play button. Thank You. PS: I dont have to see it to know this will clarify the fuzziness my head. Thank you so much, John!

Thanks for the video John. I will renew my Azure Architect cert soon and needed a quick way to remember all of these. Great work making hard things easy. God bless you.

As an azure data engineer, you nailed the overview. Thanks!

Microsoft owe you for this explaination!!! Thank you so much!! for this John..

What a brilliant video to simplify information that is actually quite complex! Thank you for this.

I am deeply grateful for the distilled knowledge and articulate presentation in this and all your videos. Thank you John!

Thank you so much for such great explanation. I can remember this now for my exam az-305. I listen to so many other videos and very hard to remember all this info if you didn't work on those specific technologies. I listen to your video once, and now I will not forget it :)

This was a really useful video - even though I'd watched it before, my CTO highlighted it for a few recent use cases, and it really does make everything come together into a cohesive whole. Thank you - really appreciated!

Thank you - this is so helpful, I've been trying to get my head around data bricks, data factory and synapse for weeks - its all now so clear!

This is really awesome. Great work!!

Nice and clear. Thanks.

Thanks for great overview, Nice video!

John, thanks for awesome overview. Very helpful!

beautiful presentation!

Great summary John! Would love to hear your take on cosmos DB. You make complex things easy to understand! Thank you.

Nice video! Thanks John.

This is simply fantastic…it brought it down to me.

great to have an overiew like this thankyou John

merci John. Brilliant !

Hi John, as per all your videos, fantastic job in simplifying and breaking it down. Would love a deep dive for Azure Data Services

Amazing video. Just what I needed :)

One of my customers has now started looking at Azure Data Catalog as well so would be nice if that got a mention 😀

Hi John, First of all Thank you for the video. I still remember Pluralsight path for DP-201 exam where 90% of the courses were authored by you and they really helped me to clear the exam. I can see that there are less number of tutorials particularly on the streaming pipelines. Please do youtube playlist on the streaming pipelines touching services like Azure Eventhubs, Stream Analytics etc. It would be of great help. Again Thanks for bringing in some content during holidays.

Another great content !

Great Video John as always... I didn't realise how realistic MS Whiteboard app was :P 17:05 your whiteboard marker kind of runs out of ink, made my chuckle

Great Explanation !! would have loved to understand where AZ AI/ML services and AZ SnowFlake services fit in

Really helpful

The thing that I still struggle with is when to choose one service over the other since there is a lot of overlap within the data services with offering ETL capabilities within their service (still leveraging ADF under the hood), using Spark, ad-hoc SQL analytics and so on. I suppose that's the the point, to find the shoe that fits, but it makes it confusing for a non-data guy like me!