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 Duration 14 hours

Course Outline

Introduction

Overview of Stratio Data Fabric

  • Introduction to the Stratio platform and its function within the public data infrastructure
  • Migration from Databricks to Stratio: Core principles and operational benefits
  • High-level architecture of Stratio and its integration capabilities for agency systems

Introduction to Augmented Data Governance

  • Principles of data governance as applied within Stratio
  • Mechanisms ensuring regulatory compliance and data integrity
  • Configuration of governance rules, policy frameworks, and administrative workflows

Introduction to Rocket Analytical Environment

  • Overview of the Rocket module for structured analytical workflows
  • Construction of data pipelines within the Rocket environment
  • Development, validation, and deployment of a basic data pipeline using Rocket

Introduction to Intelligence Analytical Environment

  • Utilization of the Intelligence module for AI and ML workflows
  • Application of prescriptive and descriptive analytical methods
  • Development and deployment of a fundamental machine learning model using Stratio

Querying and Transforming Information

  • Familiarization with Stratio’s querying language and associated tools
  • Execution of data transformations for analytical purposes
  • Retrieval and manipulation of datasets within the Stratio environment

Stored Procedures for Querying

  • Comprehensive understanding of stored procedures within Stratio
  • Operational use cases: Determining when and how to implement stored procedures for complex queries
  • Authoring and execution of stored procedures for data extraction and analysis

Scripts of Examples Reviewed in Class

  • Review of example scripts utilized in practical demonstrations
  • Discussion of optimization strategies and established best practices

Presentations and Additional Bibliography

  • Presentations addressing advanced topics within Stratio
  • Distribution of supplementary resources, including technical documentation and further reading materials
  • Question and Answer session to address outstanding inquiries

Summary and Next Steps

Requirements

  • Foundational knowledge of Databricks
  • Basic understanding of data mining, database utilization, and analytical processes

Target Audience

  • Data analysts
  • Data scientists
  • Database administrators

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