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Course Outline

Introduction to Datameer

  • Overview of Datameer platform and architecture.
  • Cloud-native capabilities and Snowflake integration.
  • Navigating the Datameer workspace and UI.

Connecting and Exploring Data

  • Adding and managing connections (Snowflake, S3, RDBMS).
  • Importing datasets and working with schemas.
  • Exploring datasets visually with Workbench and Explorations.

Data Transformation and Preparation

  • Building projects: visual and SQL-based workflows.
  • Applying filters, joins, unions, and groupings.
  • Using built-in functions and expressions.
  • Version control and transformation lineage.

Data Collaboration and Governance

  • Project sharing and user roles.
  • Tagging and organizing datasets.
  • Metadata management and glossary creation.

Visualization and Reporting

  • Creating dashboards and visual widgets.
  • Bar, pie, line, sunburst charts, and more.
  • Sharing insights and exporting results.

Advanced Use Cases

  • Automating transformations with schedules.
  • Data sampling and optimization techniques.
  • Monitoring jobs and troubleshooting.

Final Labs and Review

  • Hands-on scenario-based labs.
  • Recap of features and Q&A.

Summary and Next Steps

Requirements

  • Basic experience with data analysis tasks such as filtering, joining, and summarizing data.
  • Familiarity with spreadsheets or BI tools (e.g., Excel, Power BI, Tableau).
  • Some exposure to SQL is beneficial but not mandatory.

Audience

  • Data analysts.
  • Business analysts.
  • Data professionals.
 14 Hours

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