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Course Outline
Introduction
Overview of Stratio Data Fabric
- An introduction to the Stratio platform and its significance within the data ecosystem
- Migrating from Databricks to Stratio: Core concepts and benefits
- High-level architectural overview of Stratio and its integration capabilities with existing systems
Augmented Data Governance Basics
- Core data governance principles applied within Stratio
- Mechanisms for ensuring compliance and maintaining data quality in Stratio
- Configuring governance rules, policies, and automated workflows
Rocket Analytical Environment Overview
- Introduction to the Rocket module for managing analytical workflows
- Construction of data pipelines within the Rocket environment
- Building, validating, and deploying a foundational data pipeline using Rocket
Intelligence Analytical Environment Overview
- Exploring the Intelligence module to support AI and ML workflows
- Implementation of prescriptive and descriptive analysis techniques
- Development and deployment of a basic machine learning model via Stratio
Data Querying and Transformation
- Introduction to Stratio's querying syntax and associated tools
- Executing data transformations to facilitate analysis
- Querying and manipulating datasets within the Stratio environment
Stored Procedures for Efficient Querying
- Comprehending the role of stored procedures within Stratio
- Use cases: Identifying scenarios for stored procedure implementation in complex queries
- Authoring and executing stored procedures for data mining tasks
Review of Class Examples
- Analyzing example scripts utilized during practical exercises
- Discussion of optimization strategies and industry best practices
Presentations and Further Reading
- Presentations covering advanced Stratio topics
- Providing supplementary resources, including technical documentation and recommended reading
- Q&A session to address any remaining queries
Conclusion and Path Forward
Requirements
- Familiarity with Databricks fundamentals
- Foundational understanding of data mining, database usage, and analytical methodologies
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.
