Delta Live Tables || Create Streaming Tables, Materialized views and Views || Datasets in DLT

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  • Опубліковано 26 сер 2024
  • 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
    #DataIntegration
    #MergeExpectations
    #ELT
    #DataProcessing
    #BigData
    #DataManagement
    #SmartContracts
    #DataGovernance
    #DataAnalytics
    #DataScience
    #DataEngineering
    #ETLProcess
    #TechInnovation

КОМЕНТАРІ • 9

  • @ravirao1982
    @ravirao1982 5 місяців тому +1

    Great explanation !! Simplifies understanding with respect to Delta Live Tables.

  • @aratithakare8016
    @aratithakare8016 6 місяців тому +1

    Good video .

  • @shashankgupta3549
    @shashankgupta3549 2 місяці тому

    Amazing, I like the matter covered in great depth here!

  • @vivinandrews4769
    @vivinandrews4769 4 місяці тому

    Hi thank you for the awesome series about delta live, I have a question can i read data from oracle using jdbc connection using delta live and run it daily by append mode, like Normal ETL.

  • @destroyer3706
    @destroyer3706 2 місяці тому

    where are the tables, ? how we can see those tables which are created , ? like SQL server database style, how can we query our datasets after pipeline finished running.

  • @aashishraina2831
    @aashishraina2831 13 днів тому

    One suggestion: vidoes are not sequenced properly.