Sep

26

2019

Working with Amazon DynamoDB

smack 26 Sep 2019 09:06 LEARNING » e-learning - Tutorial

Working with Amazon DynamoDB
Cloud Academy
Duration: 1h 32m | Video: h264 1920x1080 | Audio: AAC 44kHz 2Ch | 830 MB
Genre: eLearning | Language: English | Difficulty: Intermediate




Description

Course Description
This course provides an introduction to working with Amazon DynamoDB, a fully-managed NoSQL database service provided by Amazon Web Services. We begin with a description of DynamoDB and compare it to other database platforms. The course continues by walking you through designing tables, and reading and writing data, which is somewhat different than other databases you may be familiar with. We conclude with more advanced topics including secondary indexes and how DynamoDB handles very large tables.

Course Objectives
You will gain the following skills by completing this course:

How to create DynamoDB tables.
How to read and write data.
How to use queries and scans.
How to create and query secondary indexes.
How to work with large tables.
Intended Audience
You should take this course if you have:

An understanding of basic AWS technical fundamentals.
Awareness of basic database concepts, such as tables, rows, indexes, and queries.
A basic understanding of computer programming. The course includes some programming examples in Python.
Prerequisites
See the Intended Audience section.

This Course Includes
Expert-guided lectures about Amazon DynamoDB.
1 hour and 31 minutes of high-definition video.
Expert-level instruction from an industry veteran.
What You'll Learn
Video Lecture What You'll Learn
DynamoDB Basics A basic and foundational overview of DynamoDB.
Creating DynamoDB Tables How to create DynamoDB tables and understand key concepts.
Reading and Writing Data How to use the AWS Console and API to read and write data.
Queries and Scans How to use queries and scans with the AWS Console and API.
Secondary Indexes How to work with Secondary Indexes.
Working with Large Tables How to use partitioning in large tables.
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Working with Amazon DynamoDB


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