Free Download Build Data Lake House for Retail Store
Published 2/2024
Created by A. K Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 46 Lectures ( 3h 59m ) | Size: 1.83 GB
Learn Databricks concepts, Spark, Spark Structure Streaming, Delta lake, Databricks SQL Analytics
What you'll learn:
Azure Databricks Fundamentals
Delta Lake Fundamentals
Learn Bronze Layer,Silver layer & Gold layer
Learn Workflow
Requirements:
Python & Spark
Description:
Learn Databricks concepts, PySpark, Spark Structure Streaming, Delta lake, Databricks SQL Analytics.Learn Bronze Layer.Learn Silver Layer.Learn Gold LayerLearn Databricks concepts, PySpark, Spark Structure Streaming, Delta lake, Databricks SQL Analytics.Learn Bronze Layer.Learn Silver Layer.Learn Gold LayerLearn Databricks concepts, PySpark, Spark Structure Streaming, Delta lake, Databricks SQL Analytics.Learn Bronze Layer.Learn Silver Layer.Learn Gold LayerModule 1:•Setup Azure Account•Setup Workspace•Navigate the Workspace•Clusters•What is Notebook•What is Libraries•Databricks File System (DBFS)•DBUTILS•WidgetsModule 2:•What Is Data Lakehouse•Delta Lake•Create Delta Table•Read & Write Delta Table•Update / Delete / Merge•Schema Validation•Time Travel•Generated ColumnsModule 3:•Configure Data Source•Build Product Pipeline•Build Customer Pipeline•Build Order Pipeline•Build Weblogs Pipeline•Build IP Location Pipeline•Build Currency Pipeline•Build Streaming PipelineModule 4:•Build Curated Product Pipeline•Build Curated Customer Pipeline•Build Curated Order Pipeline•Build Curated Weblogs Pipeline•Build Curated Streaming PipelineModule 5:•Databricks SQL Concept•Build Foundation of Gold Layer•Build Gold Layer•Create Query•Develop DashboardModule 5:•Databricks SQL Concept•Build Foundation of Gold Layer•Build Gold Layer•Create Query•Develop DashboardModule 6:•Develop Bronze Layer Workflow•Develop Silver Layer Workflow•Develop Gold Layer Workflow
Who this course is for:
Data Engineering Students & Developers
Bigdata Developer
Python & SQL Developer
Homepage
Code:
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