Data Warehousing on AWS
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.
Data Warehousing on AWS
Current course dates can be found at the bottom of this page… company training available on request!
COURSE DESCRIPTION
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.
COURSE OBJECTIVES
In this course, you will learn 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
- Analyze 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 organization
- Orchestrate workflows in the data warehouse using AWS Step Functions state machines
- Create an ML model and configure predictors using Amazon Redshift ML
INTENDED AUDIENCE
This course is intended for:
- Data engineers
- Data architects
- Database architects
- Database administrators
- Database developers
PREREQUISITES
We recommend that attendees of this course have:
- Building Data Lakes on AWS
- Building Data Analytics Solutions Using Amazon Redshift
- Familiarity with relational databases and database design concepts
ACTIVITIES
This course includes:
- presentations
- hands-on labs
- demonstrations
COURSE DURATION / PRICE
- 3 days
- € 2,685.00 (excl. tax) per person (DE)
Course outline
- 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 materialized 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 Redshiftmazon 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
IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our training. If this is not possible, please contact us in advance.
Course materials are in English, on request also in German (if available).
The course language is German, on request also in English.