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 helpful but not required

Audience

  • Data analysts
  • Business analysts
  • Data professionals
 14 Hours

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