ETL Processes and Tools
( 24 Modules )

Module #1
Introduction to ETL
Overview of ETL, importance, and concepts

Module #2
ETL Fundamentals
Understanding data sources, targets, and transformations

Module #3
ETL Workflow and Design
Designing and planning ETL workflows, data flows, and architectures

Module #4
Data Profiling and Analysis
Understanding data quality, profiling, and analysis techniques

Module #5
Data Extraction Techniques
Overview of data extraction methods, tools, and best practices

Module #6
Data Transformation Techniques
Transforming data:aggregations, concatenations, and data type conversions

Module #7
Data Loading Techniques
Loading data:bulk loading, incremental loading, and data validation

Module #8
ETL Tools Overview
Survey of popular ETL tools:Informatica, Talend, Microsoft SSIS, and more

Module #9
Informatica PowerCenter
Hands-on with Informatica PowerCenter:creating ETL workflows and mappings

Module #10
Talend Open Studio
Hands-on with Talend Open Studio:creating ETL jobs and routes

Module #11
Microsoft SSIS
Hands-on with Microsoft SSIS:creating ETL packages and workflows

Module #12
Data Integration Patterns
Design patterns for data integration:hub-and-spoke, bus, and federated architectures

Module #13
Data Warehousing Fundamentals
Introduction to data warehousing:concepts, architectures, and use cases

Module #14
ETL for Big Data
ETL for big data:Hadoop, Spark, and NoSQL databases

Module #15
Cloud-based ETL
Cloud-based ETL:Amazon Glue, Google Cloud Data Fusion, and Azure Data Factory

Module #16
ETL Scheduling and Monitoring
Scheduling and monitoring ETL workflows:cron, Apache Airflow, and more

Module #17
ETL Testing and Quality Assurance
Testing and validating ETL workflows:data quality, testing frameworks, and more

Module #18
ETL Security and Governance
Securing ETL workflows:data encryption, access control, and compliance

Module #19
ETL Best Practices and Optimization
Optimizing ETL workflows:performance tuning, parallel processing, and more

Module #20
ETL in Real-World Scenarios
Case studies:ETL in finance, retail, healthcare, and more

Module #21
ETL for Real-Time Data Integration
Streaming ETL:Kafka, Kinesis, and real-time data integration

Module #22
ETL for Machine Learning and AI
ETL for machine learning and AI:data preparation, feature engineering, and more

Module #23
ETL in the Cloud-Native Era
Cloud-native ETL:serverless ETL, containerization, and more

Module #24
Course Wrap-Up & Conclusion
Planning next steps in ETL Processes and Tools career

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ETL Processes and Tools ( 24 Modules )

ETL Processes and Tools
( 24 Modules )