Stratio Data Fabric Basics

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

Audience

• Data analysts
• Data scientists
• Database administrators

Stratio Data Fabric is an enterprise data management platform designed to enable organizations to integrate, manage, and govern large volumes of data across multiple systems and environments. It combines technologies like big data, artificial intelligence (AI), and machine learning (ML) to create a unified platform that simplifies data access, storage, governance, and analytics.

This instructor-led, live training (online or onsite) is aimed at beginner-level data analysts who wish to use Stratio Data Fabric in data mining, database exploitation, and advanced analytical projects.

By the end of this training, participants will be able to:

• Gain a comprehensive understanding of Stratio Data Fabric’s components, architecture, and functionalities.
• Design and execute data pipelines using Stratio’s Rocket analytical environment.
• Apply augmented data governance principles within Stratio for compliance, quality control, and security.
• Conduct descriptive and prescriptive data analyses using the Intelligence module in Stratio.
• Confidently transition existing Databricks projects to Stratio while ensuring smooth operational workflows and ongoing data analysis.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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