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Curriculum Designed by Experts

Multisoft Virtual Academy’s Google Dataflow and Matillion Corporate Training is a specialized course designed for corporate teams aiming to master cloud-based data processing and integration. This training provides in-depth knowledge of Google Dataflow's real-time data processing and Matillion's powerful ETL capabilities. Delivered through instructor-led live sessions, the course includes hands-on labs, project-based learning, and industry-relevant case studies. Tailored for working professionals, the training enhances skills in cloud data workflows, data orchestration, and analytics automation—driving organizational efficiency and innovation.
Google Dataflow and Matillion Training equips professionals with expertise in real-time data processing and cloud-based ETL workflows. Learn to build scalable pipelines using Google Dataflow and Apache Beam, and automate ETL processes with Matillion on AWS, Azure, and Google Cloud. Gain hands-on experience in data transformation, integration, and cloud analytics.
- Understanding Dataflow and Matillion's roles in data processing
- Benefits of integrating Google Dataflow with Matillion

- Overview of Matillion ETL
- Overview of Snowflake data warehouse
- Benefits of using Matillion with Snowflake
- Key concepts and terminology

- Configuring Snowflake environment
- Setting up Matillion instance for Snowflake
- Connecting Matillion to Snowflake
- Best practices for environment setup

- Configuring Matillion to connect to various data sources
- Using Matillion's Extract components to pull data into Snowflake
- Handling different data formats (CSV, JSON, XML)
- Scheduling and managing data extraction jobs

- Overview of transformation components in Matillion
- Implementing common transformations (filtering, joining, aggregating)
- Advanced transformations (lookups, data cleansing, custom scripts)

- Configuring data load jobs to Snowflake
- Loading data efficiently and handling large datasets
- Managing data types and schema mapping
- Error handling and data quality considerations

- Introduction to orchestration components in Matillion
- Designing workflows and pipelines to automate ETL processes
- Scheduling and managing orchestration jobs
- Using Matillion variables and parameters

- Utilizing Snowflake's features (e.g., semi-structured data, streams, tasks)
- Leveraging Matillion's advanced components and functionalities with Snowflake
- Performance optimization techniques for ETL processes
- Advanced data integration patterns

- Configuring user roles and permissions in Snowflake
- Implementing security best practices in Matillion and Snowflake
- Data encryption and compliance considerations
- Auditing and monitoring

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Free Google Dataflow and Matillion Corporate Training Assessment
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Google Dataflow and Matillion Corporate Training Certification
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