Delta Live Tables || change data capture (CDC) in DLT || SCD1 and SCD 2 || Apply Changes DLT

Delta Live Tables (DLT) Introduction
Introduction to Lakehouse Architecture
Challenges with Lakehouse Architecture
Procedural ETL vs Declarative ETL
DLT is Declarative ETL
Features present in DLT
#DLT
#StreamingTable
#MeterializeView
#views
#lineage2
#pipeline
#DeclarativeFramework
#ELTFramework
#ETL
#databrickstesting
#dataengineers
#dataengineering
#Databricks
#StreamingETL
#BatchETL
#DataQuality
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#MergeExpectations
#ELT
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[@nandakishormutalikdesai3408]

Crisp and Clear explanation, Thank you.

[@joseduarte5663]

Hey man, awesome video and I loved how you got straight to the point, thanks for uploading this!

[@saharamanson1970]

thank you

[@letsunderstand3824]

How to track lineage as after Apply changes drops the Lineage

[@user-nv9fv2up5d]

Quick Question : If a record is dropped from Source table i.e hard delete how does apply_changes handle it .

[@softwaredevelopmentenginee5650]

we should not drop any record from the source (or bronze layer), ideally we should do deduplication at silver layer . so that if we need source data again we can process it from bronze.

[@girishrao5816]

If we need to implement any transformation on silver table how to do it

[@softwaredevelopmentenginee5650]

better to use views to do transformation and then append that data in dlt table

[@ArpitJain-pm3cy]

Hi , I was implementing SCD1 SCD2 in DLT . I have batch data in source and daily new file will come from source.
After day1 success run , I modified day 2 file , so that some new records will insert and some will update.
But i am getting below error :-
Flow '' has FAILED fatally. An error occurred because we detected an update or delete to one or more rows in the source table. Streaming tables may only use append-only streaming sources. If you expect to delete or update rows to the source table in the future, please convert table to a live table instead of a streaming live table. To resolve this issue, perform a Full Refresh to table . A Full Refresh will attempt to clear all data from table and then load all data from the streaming source.

[@softwaredevelopmentenginee5650]

few questions ->
- if you have a batch data why are you using DLT
- even if you are using may i know which function u are using for reading the file like read or readStream or autoloader ?
- if you are using read then you should work with some kind of folder strucure based on date since you are getting 1 file each day
-if you are using readStream make sure you deleted the existing the check points and then restart your pipeline
- if you are using the autoloader i guess you should not face any issue just try fresh load