Snowflake-Labs/sf-samples
Dec 2024 – Dec 2024
1 Month active
Languages Used
CSVMarkdownSQLYAML
Technical Skills
Business IntelligenceData AnalysisData ModelingData WarehousingETLSalesforce Integration
Rachel Blum
PROFILE
Rachel Blum
Developed a new Sales Cloud analysis template for the Snowflake-Labs/sf-samples repository, focusing on enabling advanced business intelligence and data analysis for Salesforce Sales Cloud data. The work involved designing semantic YAML files and providing comprehensive setup instructions and sample CSV data to support both demo and custom data integrations. Leveraging skills in data modeling, ETL, and Salesforce integration, the template established robust query capabilities for accounts, opportunities, and sales representatives. This solution accelerated onboarding and demo readiness, allowing users to quickly extract actionable insights from their Salesforce data and demonstrate business value through streamlined analytics workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,393
Activity Months1
Your Network
378 peopleWork History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focusing on delivering a new Cortex Analyst Sales Cloud analysis template for Snowflake-Labs/sf-samples, including setup instructions, sample data, and semantic YAMLs for demo and custom data integrations. This work established data query capabilities for accounts, opportunities, and sales representatives, enabling faster insights and demonstrable business value.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focusing on delivering a new Cortex Analyst Sales Cloud analysis template for Snowflake-Labs/sf-samples, including setup instructions, sample data, and semantic YAMLs for demo and custom data integrations. This work established data query capabilities for accounts, opportunities, and sales representatives, enabling faster insights and demonstrable business value.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownSQLYAML
Technical Skills
Business IntelligenceData AnalysisData ModelingData WarehousingETLSalesforce Integration
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