AWS Data Warehousing
Introduction to Data Warehousing on AWS
AWS Data Warehousing involves designing and managing scalable data warehouses on AWS. This module introduces key concepts of data warehousing on AWS, including architecture, services, and best practices for building robust data warehouses.
Overview of AWS Data Warehousing Services
Learn about the main AWS services used for data warehousing, including Amazon Redshift, AWS Glue, and Amazon S3. Understand the role of each service in a data warehousing solution and how they integrate to provide a comprehensive data warehousing environment.
Designing Data Warehousing Solutions
Discover how to design efficient and scalable data warehousing solutions on AWS. Learn about data modeling, schema design, and best practices for organizing and structuring data to optimize performance and query efficiency.
Implementing Amazon Redshift
Gain insights into implementing Amazon Redshift, AWS's managed data warehouse service. Learn how to set up and configure Redshift clusters, manage nodes and databases, and optimize performance for large-scale data processing and analytics.
Data Integration and ETL Processes
Explore data integration and ETL (Extract, Transform, Load) processes in AWS. Learn how to use AWS Glue for data cataloging, data transformation, and orchestrating ETL workflows. Understand how to integrate data from various sources into your data warehouse.
Data Security and Compliance
Learn about data security and compliance considerations in AWS data warehousing. Understand how to implement encryption, access control, and auditing practices to ensure the security and integrity of your data warehouse.
Monitoring and Performance Tuning
Discover techniques for monitoring and tuning the performance of your data warehouse on AWS. Learn how to use AWS CloudWatch and other monitoring tools to track performance metrics, identify bottlenecks, and optimize query performance.
Cost Management and Optimization
Understand cost management and optimization strategies for AWS data warehousing. Learn about pricing models for Amazon Redshift, AWS Glue, and other services, and explore best practices for managing and reducing costs while maintaining performance.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS data warehousing. Learn from practical examples of how organizations have used AWS services to build scalable and efficient data warehousing solutions to support their business needs.
AWS Data Warehousing Syllabus
Introduction to Data Warehouse
- What is Data Warehouse
- Data Warehouse Modeling
- What is Meta Data and Data Mart
- Operational Data Stores
- OLAP Technology
- Dimensional Modeling
- What is Star Schema
- Data Warehouse Tools
- Database Parallelism
Data Warehouse Architecture
- Basic Data Warehouse Architecture
- End-User Access Tools
- Data Warehouse Architecture with Staging Area
- Data Warehouse Architecture with Data Marts and Staging Area
- Data Warehouse Architecture Properties
- Types of Data Warehouse Architectures
Amazon Web Services Overview
- What is AWS
- Identity and Access Management
- AWS Storage Services
- AWS EC2
- Database and Application Services
- AWS Key Features
AWS Data Warehouse
- Data Warehousing on AWS
- How to Implement a Data Warehouse on AWS
- Deploy a Data Warehouse on AWS
- Amazon Redshift
- The Building of Data Warehouse Using Amazon Redshift
- Advantages of AWS Data Warehouse
Amazon Redshift
- Introduction to Amazon Redshift
- How to Set Up Amazon Redshift
- Configuring Security Groups
- Use of Amazon Redshift Cluster
- Key Features of Amazon Redshift
Deploy a Data Warehouse
- AWS Data Warehouse
- How to Deploy a Data Warehouse Using Amazon Redshift
- Analyzing Data by Data Warehousing
- Creating an Amazon Redshift Cluster
- Configuring Amazon Redshift Cluster
Modernizing Data Warehouse
- What is a Modern Data Warehouse
- IAM Roles
- DNS Names
- Amazon Route 53
- Amazon VPC
- Data Warehouse Management Using Amazon Redshift
Amazon DynamoDB
- Introduction to Amazon Dynamo Database
- How to Set Up and Access Amazon DynamoDB
- How to Program with Amazon DynamoDB
- Point-in-Time Recovery
- What is NoSQL Workbench
- DynamoDB Transactions
- Amazon DynamoDB Resources
Amazon S3
- What is Amazon S3
- Amazon S3 Batch Operations
- What are Buckets and Objects
- AWS SDKs
- Storage Class Analysis
- Monitoring and Error Handling
- Server Access Logging
Enterprise Data Warehousing on AWS
- What is a Data Warehouse
- Enterprise Data Warehousing
- Key Features of Enterprise Data Warehousing
Amazon EMR
- Amazon EMR Overview
- Amazon EMR Architecture
- Use of EMR Notebooks
- How to Configure Clusters
- How to Manage and Troubleshoot a Cluster
Amazon Redshift Cluster
- Amazon Redshift Overview
- Managing Clusters Using Amazon Redshift API and CLI
- How to Monitor Cluster Performance
- How to Query a Database
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details