Video description
Understanding how to use Amazon Web Services (AWS) has become a must-have skill for virtually anyone working in Big Data. In this course, certified AWS expert Ben Butler shows you how to use AWS while also teaching you core Big Data concepts like life cycles, time requirements, characteristics, dimensions, and design patterns for Big Data workflows.
The course includes an overview of the distinct web services provided by AWS for big data related workloads, as well as a hands-on demonstration of Amazon S3 (Simple Storage Service), and introductions to both Amazon DynamoDB and Amazon Glacier. Learners should have a basic understanding of the command line interface and an AWS account with API keys.
- Learn to use AWS and access its virtually unlimited storage resources
- Understand Big Data workloads, and concepts like velocity, veracity, volume, and variety
- Explore Big Data storage factors like request rate, latency, cost, and storage size
- Discover how to set up AWS environments using the CLI and the AWS Management Console
- Explore Amazon S3 in depth, including features like transfer acceleration and multipart upload
Table of contents
-
Introduction To The Course
- Welcome To The Course 00:01:30
- About The Author 00:01:34
-
Discussion Of Big Data
- Big Data Introduction 00:02:31
- Big Data Dimensions 00:04:17
- Big Data Storage Factors 00:03:15
- Big Data Storage Options 00:05:25
- Big Data Storage Architecture 00:03:45
- Set Up AWS Demo/Sandbox Environment 00:05:00
-
Deep Dive Into Amazon S3/Glacier
- Amazon S3 Introduction 00:03:31
- Amazon S3 Demonstration 00:10:28
- Amazon S3 Cross Region Replication 00:04:36
- Amazon S3 Transfer Acceleration 00:06:55
- Amazon S3 Storage Classes 00:05:56
- Amazon S3 Multi-Part Upload 00:03:05
- Amazon Glacier Introduction 00:02:53
- Amazon S3 Lifecycle Management Policies 00:04:30
- Introduction To Amazon DynamoDB
-
Conclusion
- Wrap Up And Thank You 00:00:58
Product information
- Title: Get Started with Amazon Data Storage, Using S3 and Glacier
- Author(s):
- Release date: March 2017
- Publisher(s): Infinite Skills
- ISBN: 9781491978979
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