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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 helpful but not required
Audience
- Data analysts
- Business analysts
- Data professionals
14 Hours
Testimonials (1)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
