Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Redshift delivers ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk. You can setup and deploy a new data warehouse in minutes, and run queries across petabytes of data in your Redshift data warehouse, and Exabyte of data in your data built on Amazon S3.
You will begin with introduction to the course, realizing what an information data warehouse is, the advantages of Redshift, and how Redshift thinks about to different tools. From that point including data loading, data distribution and fundamental Redshift use. In this course we start from the basic AWS storage service S3 and explore multiple option before going deep in to redshift. The course starts with overview of AWS and related Big Data services.
Amazon Redshift is an Internet hosting service and data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services.
This course is designed for the absolute beginner, developers, database analysts anyone interested to change career into Amazon Redshift.
There are no pre-requisites for taking this course. Anyone can take the course.
After completion of the course, you will get an opportunity as Amazon Data engineer, Data consultant, Developer in Mind tree, Capgemini, Amazon, Accenture, CDM smith, Sony and more.
These topics covered in the course: Data Warehousing on AWS, Introduction to AWS Redshift, Redshift Architecture Overview, Redshift Fundamentals, Monitoring cluster performance, Unloading Data, Performance Tuning and more.
Data Warehousing on AWS
Introduction to AWS Redshift
Redshift Architecture Overview
Monitoring cluster performance