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AWS Data Warehouse – Build with Redshift and QuickSight

Learn Redshift Essentials, QuickSight Visualization and Machine Learning Prediction with AWS Certified Expert
3.8
3.8/5
(62 reviews)
318 students
Created by

7.6

CourseMarks Score®

5.7

Freshness

7.8

Feedback

8.7

Content

Platform: Udemy
Video: 2h 12m
Language: English
Next start: On Demand

Table of contents

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

You will 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

This course is for

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

How much does the AWS Data Warehouse - Build with Redshift and QuickSight course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $7.1 of 25 Redshift courses. So this course is -111% cheaper than the average Redshift course on Udemy.

Does the AWS Data Warehouse - Build with Redshift and QuickSight course have a money back guarantee or refund policy?

YES, AWS Data Warehouse – Build with Redshift and QuickSight has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the AWS Data Warehouse - Build with Redshift and QuickSight course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Liya Peng a SCAM or a TRUSTED instructor?

Liya Peng has created 3 courses that got 173 reviews which are generally positive. Liya Peng has taught 4,249 students and received a 3.8 average review out of 173 reviews. Depending on the information available, Liya Peng is a TRUSTED instructor.
IT Architect/Blogger
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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Platform: Udemy
Video: 2h 12m
Language: English
Next start: On Demand

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