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IT & Software Other IT & Software Redshift

AWS Data Warehouse - Build with Redshift and QuickSight

Learn Redshift Essentials, QuickSight Visualization and Machine Learning Prediction with AWS Certified Expert
Rating: 3.1 out of 53.1 (58 ratings)
290 students
Created by Liya Peng
Last updated 11/2018
English
30-Day Money-Back Guarantee

What you'll learn

  • Understanding Amazon Redshift Essentials
  • Deploying data warehouse on Amazon Redshift
  • Maintaining and Montoring Data
  • Analyzing and Visualizing Data in Redshift with AWS QuickSight
  • Setting Up Redshift Security

Requirements

  • AWS account (you can use free tier account)
  • Any SQL Client supports PostgreSQL
  • Basic knowledge on relational databases and database design concepts
  • A Windows, Linux or Mac PC/Laptop

Description

This course AWS Data Warehouse - Build with Redshift and QuickSight covers all of the main concepts you need to know about Data Warehouse and Redshift. This course assumes you have no experience of Redshift but are eager to learn AWS solution on Data Warehouse. This course has seven hands-on labs from launching Redshift cluster, loading data, managing cluster, monitoring performance to visualizing data on QuickSight. The advanced experimental bonus sections focus on the latest Redshift features. You will learn Redshift essentials, QuickSight visualization, and Machine Learning prediction. You will also get the basic knowledge of other associated AWS services (e.g. S3, IAM, VPC, CloudWatch, and CloudTrial) during this step-by-step deploying and analytical processing. Plus the advanced knowledge of Redshift usage on data streaming and machine learning.

Once you have completed this course, you should be able to deploy your data warehouse on Redshift, operate and maintain data, analyze and visualize data on Quicksight, and set up security for Redshift.  

Advanced Bonus Sections:

  • Hands-on lab: AWS Machine Learning on Redshift Data

  • Redshift Spectrum

  • Redshift with Kinesis

Who this course is for:

  • AWS beginners and developers
  • Database developers and analysts
  • Database administrators

Course content

11 sections • 36 lectures • 2h 12m total length

  • Preview05:40
  • Preview03:00
  • Preview02:42
  • Deploy Data Warehouse on Redshift
    02:22
  • Prerequisites and Sample Flow
    00:55
  • Summary
    00:41
  • AWS Data Warehouse Introduction Quiz
    2 questions

  • Redshift Architecture Overview
    02:55
  • Performance - Columnar Data Storage
    02:44
  • Performance - Data Compression
    01:58
  • Performance - Massively Parellel Processing
    01:58
  • Summary
    00:40
  • Redshift System Overview Quiz
    5 questions

  • Cluster Management Overview
    00:50
  • Database Review
    01:16
  • Lab: Launch Redshift Cluster
    11:29
  • Cluster Node Types
    01:48
  • Lab: Manage Cluster
    03:11
  • Cluster Summary
    01:37
  • Cluster Management Quiz
    3 questions

  • Monitoring and Logs Overview
    00:48
  • Lab: Cluster Monitoring
    08:31
  • Lab: Workload Management
    05:02
  • Lab: Auditing Logs
    03:50
  • Summary
    00:58
  • Monitoring and Logs Quiz
    3 questions

  • Data Operations Overview
    00:30
  • Design Database
    03:50
  • Load, Unload, Backup and Restore
    03:29
  • Summary
    00:08
  • Data Operations Quiz
    2 questions

  • AWS QuickSight
    01:58
  • Lab: Analytics and Visualization
    12:40
  • Analytics and Visualization Quiz
    1 question

  • Security Overview
    03:06
  • Security Quiz
    2 questions

  • Congratulation!
    02:00

  • AWS Machine Learning on AWS Redshift Data Part I
    08:13
  • AWS Machine Learning on AWS Redshift Data Part II
    07:18

  • Spectrum Architecture Overview
    03:15
  • Key Components and Life of Query
    03:27
  • Lab: Query Data From Redshift Spectrum
    08:57

Instructor

Liya Peng
IT Architect/Blogger
Liya Peng
  • 3.4 Instructor Rating
  • 159 Reviews
  • 4,167 Students
  • 3 Courses

Liya Peng is an IT Architect and IT blogger with 20 years of experience in the financial service industry, Ms. Peng focused on various multi-million dollar projects to support global financial transaction and the technical infrastructure refresh to enhance overall performance and functionalities. She holds several IT certifications such as GCP PCA (Google Cloud Certified Professional Cloud Architect), PDE (Google Cloud Certified Professional Data Engineer), AWS Big Data Specialty, AWS Certified Solutions Architect Associate, SCEA (SUN Certified Enterprise Architect), and PMP (Project Management Professional). She would like to help you shorten your learning curve on information technology.

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