I didnt understand the free taril and i am creating databrick acc using microsoft azure but it ask something

Hii, i sent u an email for the dbc file !

what's the difference b/w both of this?

Seems, Topic 5 is missing..

Great Job!! Sent an email for practice notes.

Very useful videos, Thanks for knowledge share.

hi day 2 for requesting all files related to this playlist and even i have mailed you .please help

Please send spark associate developer playlist dbf files i have send u email request still not response

please upload video 5

hi thanks for the course i have emailed to requesting for dbc file thanks

Sir! Where is the autoloader video. I cannot find it in this playlist! Please upload it.Thanks!🙂

Hi hope you’re doing great 👍 ! After learning basics n understanding ( types of data, 6vs of data, etl vs elt, db vs dw vs dm vs dl, full vs incremental load, fact vs dimensions, dw schemas, scd type n storage layer types, oltp vs olap) in one day , i have moved to databricks instead of data analysis as i want to become data engineer so today i have started this playlist n done with below topics ( 1- data bricks -- simple open source and single seloid teck stack ( all stack under 1 unberla ) lakehouse Data lake + dw = lakehouse (delta lake ) as delta lake is heart of lake house n lakehouse is build on top of delta lake (Topic-2 free trail - 2 ways aws n direct db website register ( need credit card 14 days trail n set termination 120 or 15 minutes as if u unchecked it will consume storage ) 1- trail version single node ( default driver node ) Multi node has worker + driver Topic-3 ( db architecture n services) ( control plane n data plane Control plane :: db cloud admin control Data plane : customer cloud ( aws azure gcp ) all exution transformation compute memory storage physically present here ) High level cluster : 1- general purpose interactive n job cluster Topic-3 db workspace Db page overview ( left side personas ( ml de n sql will b available in premium version) rest create workspace repos compute data workflow will b same in all 3 pasonas ( ds ml sql ) -- right side top ( user settings , admin consle , logout many more ) Topic -4 create n manage clusters Workspace create or compute create new ( single node -) When u click on created cluster u will have many options logs alerts metrics many more where we can mintor all Topic-5 db notebooks 1- create new notebook name n select lang u want 2- execute cell print (“hello”) 3- magic command %sql %python to change language of note book 4- md 5- %run “path” of child notebook or second notebook 6- %run “./notbookname” for exiting folder 7- dbutilies.help 8- display dbutlies.fs.help to display in tabular format Topic-6 git version n repos Create account in git hub settings developer mode acess token create copy then go to db settings add token repos n configure then create a child branch n to avoid conflict ( first always pull latest version n then push) Topic -7 taking brake may b evening i will practice Thanks 😊 once again !!

Learn in one day all below topics n return what i learn thanks now starting this playlist Topic -1 Types of data 1- structured ( oltp transactional online banking booking erp ) relation between tables Eg : oracle sql server ibm db2 vertica 2-semi structured- json xml format Dw / data bricks / delta or data lake ( iot sensor data ) 3- unstructured ( images videos ) ( dw / delta lake ) N for statistics data ( Topic -2 6 vs of data 1- volume (gb tb peta bytes) 2- variety (semi structured unstructured) 3- velocity-( 4- value ( analysis dashboard) 5- veracity ( redundancy scalability) 6- variability( change in variable) Topic -3 etl vs elt Etl : extract transform load- specific use case Elt : extract load n transform- many use case Topic -4 Db - rdbms oltp ( relationship primary n foreign key) Dw - storage ( dw / db) fact n dimensional ) Dm - subset of dw for fast recent revision history Dl- large storage Topic -5 full vs incremental load Full: replace full load in target system ( useful when less volume n frequency is often Incremental load : first time full load n from next load it only takes updates or modified record( volume is high n modifications) Topic-6 fact vs dimensions Fact: Measures Transitional Dimensions: Not change statics Dim tables Topic-7 scd Scd -0 to 6(5) Scd -0 fixed dimensions Scd-1 no history Scd -2 Scd -3 Scd -4 Scd -6(5) Topic -8 dw schemas 1- star - straight forward centralised fact n many dim tables but dim tables will not have relation with other dim tables 2- snow flake - Complex query performance low One fact table have many dim tables n each dim tables have relation b/w them know as child tables 3- galaxy star schema

I saw thinking due to storage outage

is this sufficient to pass databricks certification and also pls share practice notebook hv shared a mail

Thanks for the tutorial ...Have mailed for the notebooks and course content. Please share.

Thank you for making the course. Can I ask for the notebooks and data?

Request mail for the .dbc file to practice was sent to your mail, could you please send that file for my mail. Thanks

Hi - i wana become data engineer can u suggest ur playlist in alphabetical order

Hi i want to learn data engineering n get job as experience data engineer can you suggest playlist in alphabetical order for de and ru data engineering if yes can i know ur LinkedIn? Thanks 😊

Content is good, but the background music is really annoying. Please don't use it in your lectures.

Hello i send you a mail for content notebook

Hello, thanks for tutorial ! i send you a mail for notebook.

Topic 5 missing

Is this end of the series ?

Good videos. Thank you. Could you pls send the data files etc.? Sent you an email earlier. Thx!

Best video to understand the concept. Thank you The Data Channel

Thanks for tutorial ... I have send mail for Notebooks

Thanks Buddy🙏🏻, Can you tell me how can i integrate github with amazon redshift for version control?

The background music is disturbing

Nice content, looking for the material, i already have sent the email

Hi Can you please share the notebook and course details?

High clarity, good presentation. Very use full. Thank you Sir

Good Content! Can you please share the .dbc file for practice?

Thank you for this helpful tutorial : Good job

Have sent the mail for Notebook and Data Files.

Q: Client Mode and Local mode appears to be same. Could you please share a scenario where there is a difference?

Topic -5 missing

Tutorial is helpful, requesting you to share the notebooks, Please share.

if in this video if you avoid background music means that will be very help full to understand clearly

Really useful Python course, keep it up bro...

Thank you very nice videos sir

Thank you for this very useful video!

greate video destroyed by pointless distracting music.

Hello sir, By saying the default value of vacuum 30 days, do u mean that all the table data has only maximum 30 days life by default?

Pretty handy and useful

Hi Data Channel, thank you for the tutorial! I'm interested in setting limits in Fabric. Can operations that exceed a cost limit be automatically shut down? For example, if a company accidentally leaves a process running over the weekend, resulting in charges of over 30,000 Euros, would implementing a kill-cost limit of, let's say, 1,000 Euros have prevented this? I'd appreciate any insights you can provide. Thank you!

This is master piece course and expecting really interesting topics coming out.,,,!

Interesting and need of the hour, Kudos for you effort and knowledge

Thank you for always brining such amazing quality content