Hands-On With Amazon Redshift

[LeeAndro]

Last updated 1/2017MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 725.09 MB | Duration: 4h 31m

Large Scale Data Warehouse Design in the Cloud

What you'll learn
Once you have completed this training course, you will have learned everything you need to know to get started with Redshift.​

Get up to speed with Redshift
Requirements
PC or MAC
No previous knowledge of Redshift is required
Description
In this Hands-on with Redshift training course, expert author Rich Morrow will teach you everything you need to know to be able to work with Redshift. This course is designed for the absolute bner, meaning no previous knowledge of Redshift is required.
You will start with an introduction to the course, learning what a data warehouse is, the benefits of Redshift, and how Redshift compares to other analytics tools. From there, Rich will teach you the basics of Redshift, including data loading, data distribution concepts, and basic Redshift usage. Finally, this video tutorial will cover advanced topics, such as data loading best practices and tuning query performance.
Once you have completed this computer based training course, you will have learned everything you need to know to get started with Redshift.

Overview

Section 1: Introduction

Lecture 1 Important - These First - Working Files

Lecture 2 Introduction

Lecture 3 About The Author

Lecture 4 What Is A Data Warehouse - Part 1

Lecture 5 What Is A Data Warehouse - Part 2

Lecture 6 What Is A Data Warehouse - Part 3

Lecture 7 Shortcomings Of Self-Owned Data Warehouses

Lecture 8 Benefits Of A Public Cloud Data Warehouse

Lecture 9 Benefits Of Redshift - Part 1

Lecture 10 Benefits Of Redshift - Part 2

Lecture 11 Benefits Of Redshift - Part 3

Lecture 12 How Companies Use Redshift - Part 1

Lecture 13 How Companies Use Redshift - Part 2

Lecture 14 Third Party Visualization Tools Overview

Lecture 15 How Redshift Compares To Other Analytics Tools - Part 1

Lecture 16 How Redshift Compares To Other Analytics Tools - Part 2

Section 2: Redshift Basics

Lecture 17 Architecture

Lecture 18 Data Loading

Lecture 19 Data Distribution Concepts

Lecture 20 Basic Redshift Usage - Part 1

Lecture 21 Basic Redshift Usage - Part 2

Lecture 22 Lab: Creating An AWS Account

Lecture 23 Lab: Creating A Redshift Cluster

Lecture 24 Lab: Configuring SQL Workbench

Lecture 25 Lab: Loading Data Into S3

Lecture 26 Lab: Loading Data Into A Redshift Cluster - Part 1

Lecture 27 Lab: Loading Data Into A Redshift Cluster - Part 2

Lecture 28 Lab: Loading Data Into A Redshift Cluster - Part 3

Lecture 29 Lab: Querying A Redshift Cluster - Part 1

Lecture 30 Lab: Querying A Redshift Cluster - Part 2

Section 3: Advanced Topics

Lecture 31 Data Loading Best Practices - Part 1

Lecture 32 Data Loading Best Practices - Part 2

Lecture 33 Tuning Query Performance - Part 1

Lecture 34 Tuning Query Performance - Part 2

Lecture 35 Lab: Connecting Tableau

Lecture 36 Lab: Tableau Usage

Section 4: Conclusion

Lecture 37 Wrap Up

This course is designed for the absolute bner, meaning no previous knowledge of Redshift is required.,Anyone wanting to learn Redshift

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