Data Warehousing on AWS

Learn concepts, strategies and best practices for designing cloud-based data warehousing solutions in AWS.

LEVEL

Intermediate

DURATION

3 Days

MODALITY

Instructor-led with hands-on labs

INVESTMENT

$2,550 + GST
(AUD / NZD / SGD)

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing cloud-based data warehousing solutions. These solutions utilise Amazon Redshift, the petabyte-scale data warehouse in AWS.

Understand how to collect, store, and prepare data for the data warehouse by using other AWS services. Namely, Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3.

Finally, you’ll learn how to use business intelligence tools to perform analysis on your data.

This course is delivered by a certified AWS trainer. Instructor led training has been shown to deliver the best learning outcomes.

What you’ll learn

  • How to discuss the core concepts of data warehousing
  • How to evaluate the relationship between Amazon Redshift and other big data systems
  • How to 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
  • How to choose an appropriate Amazon Redshift node type and size for your data needs
  • How to discuss security features as they pertain to Amazon Redshift, such as encryption, IAM permissions, and database permissions
  • How to launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
  • How to 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
  • How to evaluate approaches and methodologies for designing data warehouses
  • How to identify data sources and assess requirements that affect the data warehouse design
  • How to design the data warehouse to make effective use of compression, data distribution, and sort methods
  • How to load and unload data and perform data maintenance tasks
  • How to write queries and evaluate query plans to optimise query performance
  • How to 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
  • How to 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
  • How to prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • How to use a business intelligence (BI) application to perform data analysis and visualisation tasks against your data

Download Course Outline.

Who should attend

  • Database Architects
  • Database Administrators
  • Database Developers
  • Data Analysts and Scientists

Course Outline

Get immediate access to the course outline for Data Warehousing on AWS. The outline will give you a better feel for the structure of the course and what each day involves.

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On-Site Training

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