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Duration 14 hours
Course Outline
Introduction
Overview of Stratio Data Fabric
- Introduction to the Stratio platform and its strategic role in the data ecosystem
- Migrating from Databricks to Stratio: Core concepts and benefits
- High-level architecture of Stratio and its integration with existing systems
Introduction to Augmented Data Governance
- Data governance principles within Stratio
- Ensuring compliance and data quality through Stratio
- Configuring governance rules, policies, and workflows
Introduction to Rocket Analytical Environment
- Overview of the Rocket module for analytical workflows
- Constructing data pipelines within the Rocket environment
- Building, testing, and deploying a basic 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 foundational machine learning model using Stratio
Querying and Transforming Information
- Introduction to Stratio's querying language and associated tools
- Executing data transformations for analytical purposes
- Querying and manipulating datasets within the Stratio environment
Stored Procedures for Querying
- Understanding stored procedures within Stratio
- Use cases: Identifying when and how to implement stored procedures for complex querying
- Writing and executing stored procedures for data mining
Review of Example Scripts
- Analysis of example scripts utilized in practical exercises
- Discussion on optimization techniques and best practices
Presentations and Additional Bibliography
- Presentations covering advanced topics in Stratio
- Provision of additional resources, including documentation and further reading
- Q&A session to address any outstanding questions
Summary and Next Steps
Requirements
- Familiarity with Databricks
- Foundational knowledge of data mining, database exploitation, and analytical processes
Audience
- Data analysts
- Data scientists
- Database administrators
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.
