AWS Data Warehouse - Build with Redshift and QuickSight
Learn Redshift Essentials, QuickSight Visualization and Machine Learning Prediction with AWS Certified Expert
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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 on 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 (published on 7/2018)
- Redshift Spectrum (published on 9/2018)
- Redshift with Kinesis (incoming Q1/2019)
Your Instructor
Liya Peng is an IT Architect and 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.