About the course
As businesses capture ever-increasing volumes of data, deriving vital insights is crucial for maintaining a competitive edge. Traditional data warehousing approaches often prove both costly and difficult to scale. Our Amazon Redshift training course introduces you to a new breed of cloud-native solutions, providing hands-on practical skills to design and deploy robust Extract, Transform, Load (ETL) solutions for your software applications.
Amazon Redshift, a powerful data warehousing service within Amazon Web Services (AWS), empowers organisations of all sizes to manage data from terabytes up to even petabytes. It removes the need for significant capital investment or the maintenance burden of on-premises infrastructure.
You'll learn how to leverage AWS to launch high-performance Redshift clusters that offer exceptional capabilities at a fraction of the total cost of ownership compared to traditional databases. This hands-on workshop is available for customised on-site delivery as a standalone workshop or as part of a wider training programme.
Instructor-led online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
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- Understand AWS Data Warehousing Context: Grasp the foundational AWS architecture relevant to cloud data warehousing with Redshift.
- Create & Configure Redshift Clusters: Confidently create, configure, and manage Amazon Redshift clusters.
- Master ETL Principles for Redshift: Understand core ETL principles and implement strategies for loading diverse data into Redshift, including from S3.
- Design Optimal Schemas: Design efficient star schemas and apply schema optimisation techniques for Redshift.
- Optimise Query Performance: Implement techniques to tune and optimise data query performance within Amazon Redshift.
- Apply Redshift Architecture Best Practice: Apply best practice for Redshift cluster architecture design and overall system optimisation.
- Plan Redshift Migrations: Understand common migration patterns and anti-patterns for moving existing data warehouses to Redshift.
- Integrate with Redshift: Connect to Redshift using standard interfaces (e.g., JDBC) and integrate with third-party Business Intelligence tools.
- Implement Redshift Security: Identify and apply key security considerations for robust Amazon Redshift deployments.
- Troubleshoot & Refine Redshift Workflows: Identify and address common performance issues and anti-patterns within Redshift data workflows.
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This course is ideal for IT professionals, data specialists, and decision-makers looking to understand, implement, or manage Amazon Redshift within their organisations. This includes:
Data Engineers and Architects
Database Administrators (DBAs)
Business Intelligence (BI) Developers
Cloud Solution Architects
DevOps and Site Reliability Engineers (SREs)
Anyone involved in migrating, managing, or optimising data warehousing solutions in the cloud.
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A foundational understanding of data concepts and some familiarity with relational databases are beneficial.
Basic familiarity with SQL (Structured Query Language).
An understanding of data warehousing concepts (e.g., OLAP vs. OLTP).
General knowledge of cloud computing concepts (familiarity with AWS is helpful but not essential, as relevant AWS architecture is covered).
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This Redshift course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Redshift Fundamentals & AWS Context
Introduction to Amazon Redshift: What Redshift is, its core benefits, and typical use cases for modern analytics.
Amazon Web Services Architecture: Overview of key AWS services that integrate with and support Redshift (e.g., S3, IAM, VPC).
Creating and Managing an Amazon Redshift Cluster: A step-by-step guide to launching and configuring your Redshift cluster, including node types and sizing.
Data Warehouse Best Practice: General principles for effective data warehousing design and management.
Data Ingestion & ETL
Understanding ETL Concepts: The principles of Extract, Transform, and Load within a data warehousing context.
Overview of Third-Party ETL Solutions: A brief look at popular tools and approaches for data pipelines.
Loading Data into Redshift: Practical methods for ingesting data, with a focus on loading from Amazon S3.
Batch and Real-time Data Loaders: Strategies for handling different data ingestion frequencies.
Good Logging Practice: Best practices for logging within ETL processes to support monitoring and debugging.
Schema Design & Query Optimisation
Redshift Architecture Design and Optimisations: Deep dive into Redshift-specific architectural choices like distribution styles, sort keys, and compression encodings.
Designing a Star Schema: Principles and hands-on application of star schema design for optimal query performance in Redshift.
Schema Optimisations: Techniques for optimising Redshift schemas, including VACUUM and ANALYSE operations.
Tuning Query Performance: Strategies and tools for analysing and optimising SQL query performance within Amazon Redshift.
Migration, Integration & Security
Migrating to Redshift: Understanding strategies, common patterns, and potential anti-patterns for migrating existing data warehouses.
Connecting to Redshift: Using standard interfaces like JDBC, ODBC, and other client tools to interact with Redshift.
Support for Third-Party Business Intelligence Tools: Integrating Redshift with popular BI platforms (e.g., Tableau, Power BI) for data visualisation and reporting.
Security Considerations: Implementing robust security measures for your Redshift cluster, including access control, encryption, and auditing.
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Official AWS Redshift Documentation: The primary and most authoritative source for all Redshift features and capabilities - https://docs.aws.amazon.com/redshift/
AWS community forums tagged with Redshift - https://repost.aws/tags/questions/TAByF7MpfSQUCX_lAeDTvODw
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