AWS Glue Training
Introduction to AWS Glue
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that simplifies data integration and preparation for analytics. This course provides an overview of AWS Glue’s features, including data cataloging, ETL processes, and integration with other AWS services.
Overview of AWS Glue Components
Learn about the key components of AWS Glue, including the AWS Glue Data Catalog, Crawlers, Jobs, and Triggers. Understand how these components work together to facilitate data discovery, transformation, and loading into data lakes or data warehouses.
Data Cataloging and Metadata Management
Discover how to use the AWS Glue Data Catalog to manage metadata and organize data assets. Learn how to create and manage tables, databases, and schemas, and how to automate the cataloging of data using AWS Glue Crawlers.
ETL Jobs and Data Transformation
Gain insights into creating and managing ETL jobs with AWS Glue. Learn how to write, schedule, and run ETL scripts to transform and clean data. Explore the use of AWS Glue's built-in transformations and custom code to meet your data processing needs.
Integration with AWS Services
Explore how AWS Glue integrates with other AWS services such as Amazon S3, Amazon Redshift, and Amazon RDS. Understand how to move data between various data stores and how to leverage AWS Glue in conjunction with these services for end-to-end data workflows.
Data Lake and Data Warehouse Integration
Learn how to use AWS Glue to build and maintain data lakes and data warehouses. Understand best practices for organizing and structuring data within data lakes and how to use AWS Glue to load and transform data into data warehouses like Amazon Redshift.
Monitoring and Troubleshooting
Discover techniques for monitoring and troubleshooting AWS Glue jobs and workflows. Learn how to use AWS Glue’s built-in monitoring features, AWS CloudWatch, and logs to track job performance and diagnose issues.
Security and Compliance
Learn about security and compliance considerations for AWS Glue. Understand how to implement encryption, access control, and data governance practices to ensure the security and integrity of your data processing activities.
Cost Management and Optimization
Understand cost management strategies for AWS Glue. Learn about pricing models, cost optimization techniques, and best practices for managing expenses associated with data processing and transformation tasks.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS Glue. Learn from practical examples of how organizations have leveraged AWS Glue to streamline data integration processes and enhance their data analytics capabilities.
AWS Glue Syllabus
Introduction to AWS Glue
- Overview of AWS Glue
- Key concepts and components
- Use cases and benefits
Setting Up AWS Glue
- Creating a Glue data catalog
- Configuring IAM roles and permissions
- Setting up Glue crawlers
Data Cataloging and Management
- Understanding databases and tables
- Managing metadata with the data catalog
- Schema discovery with Glue crawlers
ETL (Extract, Transform, Load) Operations
- Creating and managing Glue jobs
- Using the Glue Studio interface
- Transformations and data processing
Writing Glue Scripts
- Writing and optimizing PySpark scripts
- Using the Glue API for custom transformations
- Job bookmarking and data consistency
Data Transformation and Cleaning
- Built-in transformations and functions
- Data cleansing and enrichment
- Handling schema evolution
Integration with Other AWS Services
- Integrating with Amazon S3, RDS, and Redshift
- Using Glue with AWS Lake Formation
- Data pipelines with AWS Step Functions
Monitoring and Troubleshooting
- Monitoring Glue jobs with CloudWatch
- Troubleshooting common issues
- Logging and performance tuning
Security and Compliance
- Data encryption and access control
- Using AWS KMS with Glue
- Compliance best practices
Cost Management
- Understanding Glue pricing
- Cost optimization techniques
- Using AWS Cost Explorer
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