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Course Outline

Introduction

Overview of Stratio Data Fabric

  • Introduction to the Stratio platform and its role in the data ecosystem
  • Migration from Databricks to Stratio: Key concepts and advantages
  • High-level architecture of Stratio and its integration with existing systems

Introduction to Augmented Data Governance

  • Data governance principles in Stratio
  • How Stratio ensures compliance and data quality
  • Setting up governance rules, policies, and workflows

Introduction to Rocket Analytical Environment

  • Overview of the Rocket module for analytical workflows
  • Creating data pipelines in the Rocket environment
  • Building, testing, and deploying a simple 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 basic machine learning model using Stratio

Querying and Transforming Information

  • Introduction to Stratio's querying language and tools
  • Performing data transformations for analysis
  • Querying and manipulating datasets in the Stratio environment

Stored Procedures for Querying

  • Understanding stored procedures within Stratio
  • Use cases: When and how to implement stored procedures for complex querying
  • Writing and executing stored procedures for data mining

Scripts of Examples Reviewed in Class

  • Reviewing example scripts used in practical exercises
  • Discussing optimization techniques and best practices

Presentations and Additional Bibliography

  • Presentations on advanced topics in Stratio
  • Sharing additional resources, including documentation and further reading
  • Q&A session for clarifying any outstanding questions

Summary and Next Steps

Requirements

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

Audience

  • Data analysts
  • Data scientists
  • Database administrators
 14 Hours

Testimonials (2)

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