Course outline for DynamoDB

TechnologyDynamodDBLevelPrerequisites listed

Pre-requisites

Participants must have a good knowledge of relational database concepts with hands-on experience in atleast one relational database

How we train

Online training for DynamoDB

  • Instructor-led live cohorts
  • Self-paced learning with expert coaches
  • 24x7 cloud labs with end-to-end examples

All sessions are 100% hands-on. Labs and activities are derived from real-world work our engineers deliver.

Classroom training

Available for corporate teams in:

  • Bengaluru
  • Chennai
  • Hyderabad
  • Mumbai
  • Delhi/Gurgaon/NCR
  • Pune

Note: Classroom training is for corporate clients only.

Self-paced hands-on sessions are delivered via VirtualCoach.

Detailed Course Outline

Hands-on

NoSQL and Cloud Computing - an Introduction

  • Understanding cloud computing
  • Need for cloud computing
  • Understanding relational databases
  • Understanding NoSQL
  • NoSQL stores in the cloud

Introduction to Amazon AWS

  • Introduction to Amazon Web Services
  • A look at the various AWS Services
  • Understanding resource usage and pricing
  • A walk-through of some of the AWS Services - EC2, S3, etc

Identity and Access Management

  • IAM Concepts
    • AWS Account
    • User
    • Group
    • Role
    • Security credentials
    • Resource
    • Permissions
    • Policy

Monitoring AWS Services

  • Debugging cloud related issues
  • Monitoring the AWS Service Health Dashboard
  • Using Cloudwatch for Monitoring
  • Setting up your metrics
  • Setting up notifications

Concepts

  • CAP Theorem
  • Where DynamoDB fits in CAP
  • Eventual consistency
  • Sloppy Quorum
  • Consistent Hashing
  • Vector clocks
  • Merkle Trees
  • Gossip protocol
  • Comparison with stores like MongoDB

Tables

  • Working with Tables
  • Specifying primary key
    • Hash Primary Key
    • Hash and Range Primary Key
  • Specifying read and write requirements for table
  • Capacity Units
  • Guidelines for working with tables
  • Table best practices

Items

  • Working with Items
  • Conditional writes
  • Guidlines for working with Items
  • Item best practices

Query and Scan Operations

  • Overview of Query and Scan
  • Parallel Scan
  • Guidelines for Query and Scan
  • Query and Scan best practices

Local Secondary Indexes (LSI)

  • Introduction to LSI
  • Attribute projections
  • Guidelines for creation of secondary indexes
  • LSI best practices

DynamoDB Administration

  • The DynamoDB console
    • Creating tables
    • Performing Queries
    • Setting up Alarms
    • Setting up access policies
  • Working with DynamoDB from the command line
  • Controlling Access
    • Setting up IAM Policies
  • Setting up monitoring via Cloudwatch
    • DynamoDB related metrics
  • Exporting/Importing data to S3 via EMR and Data Pipeline