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Deep Dive and Best Practices for Amazon Redshift (ANT401-R1)
Great technical overview of Redshift and AWS recommended best practices for table design, ETL processes, cluster sizing and workload management.

Using Performance Insights to Optimize Database Performance (DAT402)
Interesting behind the scenes technical discussion of how the Performance Insights system populates the console dashboard. This is used for monitoring the performance of RDS databases, including Aurora. Understanding how this works enables us to make better use of this tool to identify when performance issues are occurring and how to resolve them.

Effective Data Lakes: Challenges and Design Patterns (ANT316)
A presentation of an example data lake architecture, plus answers to a number of FAQ from real world customers.

Technology Trends: Data Lakes and Analytics (ANT205)
Anurag Gupta, VP for AWS Analytic and Transactional Database Services, talks about some of the key trends he sees in data and analytics, also discusses AWS products that are relevant to these trends.

Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)
Discusses best practices for loading, storing, processing and analysing big data on AWS. Offers some advice on choosing the right technology for different scenarios.

Data Lake Implementation: Processing & Querying Data in Place (STG204-R1)
High level discussion of the different technologies available for analysing data stored as files in S3. Includes a discussion on "S3 Select".

Best Practices to Secure Data Lake on AWS (ANT327)
Looks at the security options for data held or accessed through various AWS technologies such as Redshift, Glue, Amazon EMR clusters and S3.

Serverless State Management & Orchestration for Modern Apps (API302)
Using Step Functions to orchestrate processes on AWS.