certainly this is great video to understand the core concept of Delta Lake, please do some more real time scenario of synapse analytics using pyspark.

Awesome video and content. In one hour we get complete overview of delta lake on Synapse.

Such a great n detailed explanation along with actual hands on. Thanks for such useful content.

Good one. More to come from you sir.

Great content 👌. Very soon you'll have thousands of subscribers.

Absolutely great video with lot of hand on details. Can you cover a demo by involving multiple services and create some pipelines ? Thank you for your videos

good demo! thanks.

Great session indeed, explained very clearly as always.. When is Part 2, coming?

Thanks.. really helping

Great tutorial ! Is there going to be a part 2 soon ?

for partition prunning, it has to be IN-list predicates? Can it be range predicate? If IN-list predicates is the only way it will works, how to parameterize and put a placeholder {} to execute the list in 'IN ( )?

Really good introduction! I struggle with how to put this in to use continuously. Is it a pipeline that runs the notebook with the load and merge? Seems ineffective when receiving data every 5 minutes.

Whats the difference between delta lake and lakehouse in synapse?

Thank you for this fantastic video; I look forward to watch part 2. I ran into an issue when I attempted to do file compaction; it throws me the following error: AnalysisException: Attempting to change metadata when 'dataChange' option is set to false during Create a Delta table. Do you know what might be going on?