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Course Outline
Introduction
Overview of Stratio Data Fabric
- Introduction to the Stratio platform and its role in the data ecosystem
- Migration from Databricks to Stratio: Key concepts and advantages
- High-level architecture of Stratio and its integration with existing systems
Introduction to Augmented Data Governance
- Data governance principles in Stratio
- How Stratio ensures compliance and data quality
- Setting up governance rules, policies, and workflows
Introduction to Rocket Analytical Environment
- Overview of the Rocket module for analytical workflows
- Creating data pipelines in the Rocket environment
- Building, testing, and deploying a simple data pipeline using Rocket
Introduction to Intelligence Analytical Environment
- Exploring the Intelligence module for AI and ML workflows
- Implementing prescriptive and descriptive analysis
- Developing and deploying a basic machine learning model using Stratio
Querying and Transforming Information
- Introduction to Stratio's querying language and tools
- Performing data transformations for analysis
- Querying and manipulating datasets in the Stratio environment
Stored Procedures for Querying
- Understanding stored procedures within Stratio
- Use cases: When and how to implement stored procedures for complex querying
- Writing and executing stored procedures for data mining
Scripts of Examples Reviewed in Class
- Reviewing example scripts used in practical exercises
- Discussing optimization techniques and best practices
Presentations and Additional Bibliography
- Presentations on advanced topics in Stratio
- Sharing additional resources, including documentation and further reading
- Q&A session for clarifying any outstanding questions
Summary and Next Steps
Requirements
- Basic knowledge of Databricks
- Basic understanding of data mining, database exploitation, and analytical processes
Audience
- Data analysts
- Data scientists
- Database administrators
14 Hours
Testimonials (4)
The ability to Engauge on a 1:1 basis and ensure I had clarity and understanding on the concepts discussed.
Dave - Sea
Course - Data Architecture Fundamentals
Having the exercise code in advance allows you to focus better on the key points to understand and remember, while being available to ask questions.
Carole Roux - INRAE
Course - EBX5 for Developers
Machine Translated
It's a hands-on session.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course - Talend Open Studio for ESB
I generally enjoyed the knowledge of the trainer.
