Understand Where Azure Data Services Really Fit in Your Data Flow!

In this video I walk through some of the major data services in Azure and where they fit in the larger data solution for an organization.

00:00 Introduction
00:47 Types of source data
02:35 Answers from data and data warehouse
03:45 Data transformation solutions
04:51 HDInsight
06:30 Databricks
07:45 ETL
08:25 Data lake and ELT
10:45 Data factory and control flow
14:43 Azure Analysis Services
16:25 Azure Synapse Analytics
18:35 Azure Purview and insight into data
20:16 Summary and close

[carlosalonsocapilla]

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

[hanhgio]

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

[satori]

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!

[Cloud-rboo]

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 Youtube, 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!

[inflicted]

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

[mohammedmohammedsaeed]

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

[mauriciozaragoza]

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.

[brianmedlin]

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

[ashokvenkat]

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

[ritchierobinson]

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

[nikibray]

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!

[userhelen]

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 :)

[invictuslegend]

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

[helennamannila]

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!

[yegunkim]

Thanks for great overview, Nice video!

[dylanhughes]

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

[rashidakhtar]

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

[aswathanarayana]

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.

[emekaegbuonu]

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

[coder]

John, thanks for awesome overview. Very helpful!