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AWS Data Engineering Certification Prep
·
Module 6
Data Warehousing with Amazon Redshift
1
Redshift Cluster Design & Node Selection
Design a Redshift cluster architecture, selecting appropriate node types and sizes.
2
Optimizing Table Design with Distribution Styles and Sort Keys
Implement optimal table design using distribution styles and sort keys.
3
Loading Redshift from S3 with COPY
Load data into Redshift from S3 using the COPY command with appropriate parameters.
4
Query S3 Data with Redshift Spectrum
Implement Redshift Spectrum to query data directly in your S3 data lake.
5
Optimizing Queries with WLM Queues
Configure workload management (WLM) queues for query prioritization and resource allocation.
6
Accelerating Queries with Materialized Views
Design materialized views to accelerate query performance.
7
Redshift Security Best Practices
Secure a Redshift cluster using encryption, IAM roles, and network controls.
8
Optimizing Redshift Queries with Query Plans
Analyze query plans to optimize slow-running queries in Redshift.
Previous module
Big Data Processing with Amazon EMR
Next module
Interactive Querying and Data Lake Governance