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Data Warehousing on AWS

  • Length 3 days
  • Price  $2860 inc GST
Course overview
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Why study this course

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift. This course demonstrates how to ingest, store, and transform data in the data warehouse. Topics covered include: the purpose of Amazon Redshift, how Amazon Redshift addresses business and technical challenges, features and capabilities of Amazon Redshift, designing a Data Warehousing Solution on AWS by applying best practices based on the Well-Architected Framework, integration with AWS and non-AWS products and services, performance tuning, orchestration, and securing and monitoring Amazon Redshift.

This course includes presentations, hands-on labs, and demonstrations.

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What you’ll learn

This course is designed to teach participants how to:

  • Describe Amazon Redshift architecture and its roles in a modern data architecture

  • Design and implement a data warehouse in the cloud using Amazon Redshift

  • Identify and load data into an Amazon Redshift data warehouse from a variety of sources

  • Analyse data using SQL QEV2 notebooks

  • Design and implement a disaster recovery strategy for an Amazon Redshift data warehouse

  • Perform maintenance and performance tuning on an Amazon Redshift data warehouse

  • Secure and manage access to an Amazon Redshift data warehouse

  • Share data between multiple Redshift clusters in an organisation

  • Orchestrate workflows in the data warehouse using AWS Step Functions state machines •

  • Create an ML model and configure predictors using Amazon Redshift ML


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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.


Who is the course for?

This course is intended for:

  • Data engineers

  • Data architects

  • Database architects

  • Database administrators

  • Database developers


Course subjects

Module 1: Data Warehouse Concepts

  • Modern data architecture

  • Introduction to the course story

  • Data warehousing with Amazon Redshift

  • Amazon Redshift Serverless architecture

  • Hands-On Lab: Launch and Configure an Amazon Redshift Serverless Data Warehouse

Module 2: Setting up Amazon Redshift

  • Data models for Amazon Redshift

  • Data management in Amazon Redshift

  • Managing permissions in Amazon Redshift

  • Hands-On Lab: Setting up a Data Warehouse using Amazon Redshift Serverless

Module 3: Loading Data

  • Overview of data sources

  • Loading data from Amazon Simple Storage Service (Amazon S3)

  • Extract, transform, and load (ETL) and extract, load, and transform (ELT)

  • Loading streaming data

  • Loading data from relational databases

  • Hands-On Lab: Populating the data warehouse

Module 4: Deep Dive into SQL Query Editor v2 and Notebooks

  • Features of Amazon Redshift Query Editor v2

  • Demonstration: Using Amazon Redshift Query Editor v2

  • Advanced queries

  • Hands-On Lab: Data Wrangling on AWS

Module 5: Backup and Recovery

  • Disaster recovery

  • Backing up and restoring Amazon Redshift provisioned

  • Backing up and restoring Amazon Redshift Serverless

Module 6: Amazon Redshift Performance Tuning

  • Factors that impact query performance

  • Table maintenance and materialised views

  • Query analysis

  • Workload management

  • Tuning guidance

  • Amazon Redshift monitoring

  • Hands-On Lab: Performance Tuning the Data Warehouse

Module 7: Securing Amazon Redshift

  • Introduction to Amazon Redshift security and compliance

  • Authentication with Amazon Redshift

  • Access control with Amazon Redshift

  • Data encryption with Amazon Redshift

  • Auditing and Compliance with Amazon Redshift

  • Hands-On Lab: Securing Amazon Redshift

Module 8: Orchestration

  • Overview of data orchestration

  • Orchestration with AWS Step Functions

  • Orchestration with Amazon Managed Workflows for Apache Airflow (MWAA)

  • Hands-On Lab: Orchestrating the Data Warehouse Pipeline

Module 9: Amazon Redshift ML

  • Machine Learning Overview

  • Getting started with Amazon Redshift ML

  • Amazon Redshift ML workflow scenarios

  • Amazon Redshift ML Usage

  • Hands-On Lab: Predicting customer churn with Amazon Redshift ML

Module 10: Amazon Redshift Data Sharing

  • Overview of data sharing in Amazon Redshift

  • Amazon DataZone for Data as a Service

Module 11: Wrap-Up

  • Hands-On Lab: End of course challenge lab

Please note: This is an emerging technology course. Course outline is subject to change as needed.


Prerequisites

We recommend that attendees of this course have completed the following courses:


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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