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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
회원 평가 (2)
Deepthi는 내 요구 사항을 완벽하게 파악해냈고, 언제 복잡한 단계를 추가해야 할지, 언제 잠시 멈추고 더 구조적인 접근 방식을 취해야 할지 잘 알고 있었습니다. Deepthi는 정말 제 속도에 맞춰 일했고, 제가 직접 새로운 기능/도구를 사용할 수 있도록 먼저 보여준 다음 제가 직접 아이템을 다시 만들게 함으로써 교육을 내장하는 데 큰 도움이 되었습니다. 저는 이 교육의 결과와 Deepthi의 전문성 수준에 더할 나위 없이 만족합니다!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
기계 번역됨
Very clearly articulated and explained
