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Course Outline
Introduction
Overview of Stratio Data Fabric
- Foundation of the Stratio platform and its function within the data infrastructure
- Key principles and benefits associated with migrating from Databricks to Stratio for government systems
- Strategic architecture of Stratio and its interoperability with legacy federal information systems
Overview of Augmented Data Governance
- Core data governance frameworks within the Stratio environment
- Mechanisms for ensuring regulatory compliance and maintaining data integrity
- Configuration of governance policies, rules, and operational workflows for government use
Overview of Rocket Analytical Environment
- Capabilities of the Rocket module in supporting analytical operations
- Construction of data pipelines within the Rocket framework
- Procedures for developing, validating, and deploying foundational data pipelines using Rocket
Overview of Intelligence Analytical Environment
- Capabilities of the Intelligence module in supporting artificial intelligence and machine learning initiatives
- Execution of descriptive and prescriptive analytical methods
- Development and deployment of baseline machine learning models via Stratio
Querying and Transforming Information
- Familiarization with Stratio’s query languages and associated tools
- Methods for performing data transformations to support analytical requirements
- Techniques for querying and manipulating datasets within the Stratio environment for government operations
Stored Procedures for Querying
- Definition and function of stored procedures within Stratio
- Application scenarios: Criteria and methods for implementing stored procedures in complex queries
- Drafting and executing stored procedures to facilitate data mining activities
Review of Example Scripts from Instruction
- Evaluation of example scripts utilized during practical exercises
- Discussion of optimization strategies and operational best practices
References and Supplementary Materials
- Presentations addressing advanced Stratio capabilities
- Distribution of supplementary resources, including technical documentation and further reading materials
- Q&A session to address inquiries regarding implementation for government entities
Summary and Next Steps
Requirements
- Fundamental familiarity with the Databricks platform
- Foundational competence in data extraction, database management, 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.