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Databricks - Delta Live Table (DLT) - OneDDL - 06-22-2024 Free Download Databricks - Delta Live Table (DLT) Published 6/2024 Created by A. K Kumar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 50 Lectures ( 3h 56m ) | Size: 2 GB Learn Databricks concepts, Pyspark, DLT Using SQL,DLT Using Python, DLT Use Case What you'll learn: Azure Databricks DLT DLT using SQL DLT using Python DLT : Build Lakehouse using DLT Requirements: Basic Python Skills Basic SQL Skills Azure Account Description: Module 1:•Setup Azure Account•Setup Workspace•Navigate the Workspace•Clusters•What is Notebook•What is Libraries•Databricks File System (DBFS)•DBUTILSModule 2 :•What is Data Lakehouse Architecture•What Is Delta Lake•Lab : Create Delta Table•Lab : Delta Ingestion•Lab : Update / Delete / Merge•Lab : Schema Validation•Lab : Generated ColumnsModule 3:•Understanding Delta Live Tables•Lab: Develop Delta Live Tables using CSV File•Lab: How to add Schema into CSV data in DTL•Lab: Develop Delta Live Tables using JSON & Parquet File•Lab: Build Streaming DLT Pipeline using CSV•Lab: Build Streaming DLT Pipeline using JSON•Lab: DLT Transformation Part-1•Lab: DLT Transformation Part-2•Lab: Data Quality Check in DLTModule 4:•Lab : Create First Delta Live Table Pipeline•Lab : DLT Schema Evolution•Lab : Change the Schema in the DLT Pipeline•Lab : Build Streaming DLT Pipeline•Lab : Schema Evolution into Streaming DLT Pipeline•Lab : Quality Check•Lab : Reusable Quality Checks•Lab : DLT with SQL Server & Parameterized PipelineModule 5:•Project Use Case•Medallion Lakehouse architecture•Configure SQL Server•Build : Product Ingestion Layer•Build : Customer Ingestion Layer•Build : Order Ingestion Layer•Configure Event Hub & Create Producer•Build : Streaming Ingestion Layer•Develop Bronze Layer•Build Silver Products Pipeline•Build Silver Customer Pipeline•Build Silver Order Pipeline•Build Silver Online Event Pipeline•Build Silver Weblogs Pipeline•Build GOLD layer•Build KPI Queries•Build Dashboard Who this course is for: Data Engineering Students & Developers Bigdata Developer Python & SQL Developer Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |