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Amazon Redshift - Data Warehousing
COURSE

Amazon Redshift - Data Warehousing

INR 29
★ 0.0 Rating
📂 AWS Certifications

Description

Comprehensive data warehousing using Amazon Redshift including architecture, optimization, security, and integration with analytics tools.

Learning Objectives

Learners will master Amazon Redshift data warehousing concepts, design optimal cluster configurations, implement data loading and unloading strategies, optimize query performance, and integrate with business intelligence tools.

Topics (8)

1
Redshift Table Design and Optimization

Table design best practices, distribution styles, sort keys, compression encoding, and performance optimization techniques.

2
Data Loading and Unloading in Redshift

COPY command optimization, data source configuration, parallel loading, error handling, and UNLOAD for data export.

3
Redshift Query Optimization

Query execution plans, performance tuning, workload management (WLM), query monitoring, and optimization best practices.

4
Redshift Security and Access Control

Encryption at rest and in transit, IAM integration, VPC security, database users and roles, and compliance features.

5
Redshift Spectrum and Data Lake Integration

Redshift Spectrum configuration, external tables, S3 data querying, performance considerations, and hybrid architectures.

6
Redshift Monitoring and Maintenance

CloudWatch metrics, system tables, performance monitoring, maintenance windows, and automated tasks.

7
BI Tool Integration with Redshift

JDBC/ODBC connections, QuickSight integration, Tableau connectivity, and performance optimization for BI workloads.

8
Redshift Architecture and Concepts

Redshift cluster components, compute nodes, leader node, data distribution, and massively parallel processing (MPP) architecture.