Building with Amazon DocumentDB Databases

In this lab, you will look into an approach to convert a relational data model to a nonrelational data model and import the converted data to Amazon DocumentDB (with MongoDB compatibility). You will run complex queries to meet your business objectives. You will also investigate backup and performance monitoring options.

Level

Intermediate

Duration

1 Hour 0 Minutes

Course objectives

In this course, you will learn how to:

      •    Evaluate relational and nonrelational data

      •    Load and verify data in Amazon DocumentDB

      •    Run complex queries to meet business objectives

      •    Monitor health and performance of Amazon DocumentDB

      •    Restore an Amazon DocumentDB database from a backup

Intended audience

This course is intended for:

      •    Solutions Architects

      •    Database Architects

      •    Developers

Prerequisites

We recommend that attendees of this course have the following prerequisites:

      •    Access to a notebook computer with Wi-Fi and Microsoft Windows, macOS X, or Linux (Ubuntu, SuSE, or Red Hat).

      •    Note: You can use an iPad or tablet device to access these directions in the lab console.

      •    An Internet browser such as Chrome, Firefox, or IE9+.

      •    Note: Previous versions of Internet Explorer are not supported.

      •    An SSH client such as PuTTY.

Course outline

Introduction

      •    Task 1: Import and validate data in Amazon DocumentDB

      •    Task 2: Use API Gateway and Lambda to read data from Amazon DocumentDB

      •    Task 3: Monitor logs and server metrics

      •    Task 4: Review and validate backups

      •    Task 5: Test failover