Overview
What You'll Learn: Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.
This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.
This course is designed to teach you how to:
- Discuss the core concepts of data warehousing.
- Evaluate the relationship between Amazon Redshift and other big data systems.
- Evaluate use cases for data warehousing workloads and review case studies that demonstrate implementation of AWS data and analytic services as part of a data warehousing solution.
- Choose an appropriate Amazon Redshift node type and size for your data needs.
- Discuss security features as they pertain to Amazon Redshift, such as encryption, IAM permissions, and database permissions.
- Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud.
- Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, to contribute to the data warehousing solution.
- Evaluate approaches and methodologies for designing data warehouses.
- Identify data sources and assess requirements that affect the data warehouse design.
- Design the data warehouse to make effective use of compression, data distribution, and sort methods.
- Load and unload data and perform data maintenance tasks.
- Write queries and evaluate query plans to optimize query performance.
- Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing.
- Use features and services, such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS), to audit, monitor, and receive event notifications about activities in the data warehouse.
- Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters.
- Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data.
Delivered by AWS Authorised Instructors
Bespoke is the Authorised Training Partner for APAC. All of our training programs are part of the AWS Global Authorised Curriculum. This 3-day program is delivered by one of Bespoke’s Authorised Amazon Instructors (AAI) and consists of a mixture of theory, group discussions, workshops and hands-on labs.
Prerequisites
We recommend that attendees of this course have:
- Attended AWS Technical Essentials or have equivalent experience
- Familiarity with relational databases and database design concepts
Modules
Module 1: AWS introduction and history
- AWS Global Infrastructure
- Demonstration: AWS Management Console
Module 2: Compute, network and storage services
- Amazon Elastic Compute Cloud (EC2)
- Amazon Virtual Private Cloud (VPC)
- Amazon Simple Storage Service (S3)
- Amazon Elastic Block Store (EBS)
- Demonstration: Amazon Simple Storage Service (S3)
- Hands-on lab: Build your VPC and launch a web server
Module 3: AWS Security, AWS Identity and Access Management (IAM)
- AWS Identity and Access Management (IAM)
- Demonstration: AWS Identity and Access Management (IAM)
Module 4: Databases (RDS, DynamoDB)
- SQL and NoSQL databases
- Data storage considerations
- Hands-on lab: Build your database server and connect to it
Module 5: AWS elasticity and management tools
- Auto scaling
- Load balancing
- Cloud Watch
- Trusted Advisor
- Hands-on lab: Scale and load balance your architecture
This course is intended for: Database architects; Database administrators; Database developers; Data analysts and scientists
Public Training Calendar
For a full course breakdown, including all topics covered in this 3-day training and Bespoke’s upcoming training schedule, click hereÂ
Flexible Training Available
If you are looking for flexible training for your team, just let us know. We can run this course at a time and date suitable for your organisation (https://www.bespoketraining.com/services/flexible-training-courses/Â )
AWS Learning Path Guidance - Is this the correct course for you ?
Highlights
- Learn to design and deploy scalable data warehousing solutions using Amazon Redshift
- Explore best practices for data ingestion, transformation, and query optimisation on AWS
- Gain hands-on experience with AWS data analytics tools for efficient reporting and insights
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