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    Data Engineering, Serverless ETL & BI on Amazon Cloud

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 2999

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 2,999
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    About the Course & Introduction

    • Instructor Introduction
    • Course & Project Overview
    • AWS Billing Component and Precautions to be taken

    Getting Started with Redshift and MySql RDS

    • Redshift Overview
    • Redshift vs BigQuery
    • Redshift - Data Consistency
    • Lab:Setup Mysql RDS Instance on AWS Cloud
    • Lab: Mysql RDS Database Import
    • Load Data into Mysql RDS using DBeaver
    • Lab : Redshift Cluster Setup
    • Lab : Sql Client for Redshift and RDS Mysql

    ETL and Syncing Traditional Data with Redshift DWH

    • Introduction - Flow of Data
    • Understanding the different Components and their Roles
    • Designing your Data Warehouse - Basic Concepts
    • Lab - AWS DataPipeline - Getting Started with the first import Job
    • Lab : One-time Load Historical Data into Redshift Tables using Copy Command
    • AWS Glue - Overview and Walkthrough
    • Lab - AWS DataPipeline - Setup our first Hourly Jobs for Incremental Data Loads
    • Lab - AWS Glue - First Python Shell Job for incremental Data loads into Redshift
    • Lab - AWS Lambda Function to Trigger our Glue Job
    • Lab - AWS DataPipeline - Second import Job
    • Lab : One-time Load Historical Data into Redshift Tables using Copy Command
    • Lab - AWS Glue - Python Shell Job for incremental Data loads into Redshift
    • AWS Glue Python - Capacity
    • Important - Data Syncing Approach and the Bigger picture
    • Redshift - Cluster Snapshot and restoring
    • Sync the Other Mysql Tables

    Data Lakes & Handling External Data Sources

    • Section Overview and Introduction
    • Lab - AWS Glue Crawler Setup
    • Lab - Athena - Data and Table Scan Explanation
    • Lab - Pyspark Development Local
    • Lab - Port Local Pyspark Script to AWS Glue
    • Lab - AWS Glue Pyspark - Parquet File Format & Snappy Compression
    • Lab - AWS Lambda to Trigger Glue Jobs
    • Lab - Glue Crawler Run - Populate Partitions in Data Catalog

    Redshift Spectrum

    • Introduction to Redshift Spectrum
    • Lab - Redshift Spectrum | Create External Schema
    • Lab - Redshift Spectrum | Cross Database Joins

    Quicksight - BI Reporting and Visualization

    • Quicksight - Introduction
    • Lab - Connecting with Redshift and Create Dashboards/Analyses
    • Lab - Run Custom Sql Queries for QuickSight Analyses and Dashboards

    Redshift Optimization Techniques and Fine Tuning

    • Redshift - Sort Keys and Compound Sort Keys
    • Redshift - Interleaved Sort Keys
    • Redshift - Vacuum Operations
    • Redshift - Choosing Keys
    • Redshift - Distribution Keys
    • Lab - Parameter Group | Redshift Cluster Modification
    • Lab - Sort and Dist Keys & Vacuuming | Alter Table Commands

    Bonus - Do more with AWS Glue

    • Lab - AWS Glue Pyspark - Insert External Data into Redshift
    • Lab - AWS Glue - Pyspark - Connect to RDS directly

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