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Course Outline
Introduction
Overview of Stratio Data Fabric
- Introduction to the Stratio platform and its position within the data ecosystem
- Migrating from Databricks to Stratio: Core concepts and benefits
- High-level architectural view of Stratio and its integration with current systems
Introduction to Augmented Data Governance
- Data governance principles applied within Stratio
- Mechanisms by which Stratio ensures regulatory compliance and data quality
- Configuring governance rules, policies, and operational workflows
Introduction to the Rocket Analytical Environment
- Overview of the Rocket module for managing analytical workflows
- Constructing data pipelines within the Rocket environment
- Development, testing, and deployment of a basic data pipeline using Rocket
Introduction to the Intelligence Analytical Environment
- Exploring the Intelligence module for AI and ML workflows
- Executing prescriptive and descriptive analysis
- Creation and deployment of a fundamental machine learning model using Stratio
Querying and Data Transformation
- Familiarization with Stratio's querying language and associated tools
- Executing data transformations to support analysis
- Querying and manipulating datasets within the Stratio environment
Stored Procedures for Querying
- Understanding the function of stored procedures within Stratio
- Practical applications: When and how to utilize stored procedures for complex queries
- Writing and executing stored procedures for data mining tasks
Review of Class Examples and Scripts
- Examination of example scripts used during practical exercises
- Discussion of optimization techniques and industry best practices
Presentations and Additional Resources
- Presentations covering advanced topics within Stratio
- Provision of supplementary resources, including documentation and further reading materials
- Q&A session to address any remaining questions
Summary and Next Steps
Requirements
- Fundamental knowledge of Databricks
- Basic comprehension of data mining, database exploitation, and analytical processes
Target Audience
- Data analysts
- Data scientists
- Database administrators
14 Hours
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.
