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Snowflake Data Engineer | Snowflake Engineering with DBT Training

Become a skilled data professional with Snowflake Data Engineer Training at Visualpath. Learn Snowflake architecture, SQL, DBT, and pipeline automation through real-time projects. Our comprehensive Snowflake Data Engineering Course Online equips you with job-ready, industry-focused skills. Call 91-7032290546 to book your free demo.<br>WhatsApp: https://wa.me/c/917032290546<br>Visit Blog: https://visualpathblogs.com/category/snowflake/ <br>Visit: https://www.visualpath.in/snowflake-data-engineering-dbt-airflow-training.html<br><br>

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Snowflake Data Engineer | Snowflake Engineering with DBT Training

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  1. TOP 4 CHALLENGES IN SNOWFLAKE DATA ENGINEERING

  2. Challenge 1 – Cost Management • Unexpected compute costs from long queries • Oversized virtual warehouses • Idle warehouses not suspended • High storage due to unmanaged tables • No tracking for peak consumption

  3. Solution – Cost Optimization • Enable auto-suspend and auto-resume • Right-size warehouses for workloads • Use resource monitors for budgets • Tune expensive queries via logs • Separate ETL, BI, ML workloads

  4. Challenge 2 – Performance Issues • Slow-running queries in peak time • Poor micro-partition pruning • Missing clustering on large tables • High concurrency causing delays • Poor monitoring of query plans

  5. Solution – Performance Optimization • Use clustering keys for big tables • Analyze query execution plans • Leverage result caching • Split large tasks into smaller jobs • Use multi-cluster warehouses

  6. Challenge 3 – Data Quality & Governance • Inconsistent data from source systems • Lack of proper data lineage • Missing validation rules in pipelines • Governance not aligned to compliance • Low audit transparency

  7. Solution – Governance & Quality Framework • Add data quality checks in pipelines • Use Snowflake Streams for CDC • Apply RBAC, masking & tagging • Define data ownership & stewardship • Centralize metadata visibility

  8. Challenge 4 – Pipeline Complexity • Multiple tools cause fragmented workflows • Difficult dependency management • No version control for transformations • Debugging complex flows is slow • Monitoring is time-consuming

  9. Solution – Pipeline Automation • Use DBT for version-controlled ELT • Orchestrate workflows with Airflow • Build modular reusable pipeline blocks • Automate testing & validation • Enable alerts for pipeline failures

  10. CONTACT US Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet, Hyderabad-16 Mobile No: +91 7032290546 online@visualpath.in

  11. THANK YOU www.visualpath.com

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