Datameer for Data Analysts

• 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

Datameer is a cloud-native data transformation and exploration platform, designed to work seamlessly with Snowflake and other modern data stacks. It allows data analysts to explore, transform, and prepare data using a no-code, low-code, or SQL-based approach, all within a collaborative and governed workspace.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to learn how to use Datameer to prepare, analyze, and visualize data using modern techniques, guided workflows, and the latest Datameer interface.

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

• Create and manage data projects within Datameer's workspace.
• Connect to modern data platforms including Snowflake, cloud storage, and databases.
• Perform data transformation using visual, code-free workflows or SQL.
• Collaborate with teams using metadata management and project sharing.
• Use visual exploration tools to profile and understand datasets.
• Create and share rich data visualizations and dashboards.

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 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