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.
Testimonials (4)
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!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
Used good examples, good pace of the training and covered most things
David - McGraw Hill
Course - Data Preparation with Alteryx
Clear explanations with good examples so i could relate to my own line of work.
