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Snowflake Data Engineering

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Course offered by Abhishek Agrawal

114 reviews

🔹 Learn Snowflake Architecture & Key Concepts
🔹 Use SnowSQL & Manage Users/Roles
🔹 Understand Virtual Warehouses & Storage Architecture
🔹 Master Data Management & Recovery (Time Travel, Cloning, Fail Safe)
🔹 Stage and Load Data (Internal/External, Bulk, Semi-structured)
🔹 Query and Transform Data Efficiently
🔹 Integrate Snowflake with AWS & Other Cloud Platforms
🔹 Implement Continuous Data Loading with Snowpipe
🔹 Explore Snowpark for Advanced Data Processing
🔹 Optimize Data Processing with Pushdown and Large Ingestion Handling
🔹 Apply Spark Techniques: Partitioning, Indexing, ETL Pipelines, SCD
🔹 Schedule Workflows with ADF, AWS Glue, or Airflow
🔹 Write and Use UDFs, Stored Procedures & Analytical Functions
🔹 Performance Tuning (Clustering, Micro Partitions, Materialized Views)
🔹 Learn DBT and Setup with Snowflake
🔹 Connect DBT with GitHub & Use DBT Cloud IDE
🔹 Understand DBT Materializations (Table, Incremental, Ephemeral)
🔹 Work with DBT Sources, Seeds & Validations
🔹 Implement Testing & Snapshots in DBT
🔹 Create DBT Macros, Hooks & BI Dashboards
🔹 Ensure Data Security & Compliance (Masking, Timestamps)
🔹 Build ELT Pipelines & Orchestrate with Airflow or ADF
🔹 Integrate and Configure Airflow with Snowflake
🔹 Create DAGs, Use SnowflakeOperators & Branching in Airflow
🔹 Build End-to-End Automated Snowflake Pipelines
🔹 Work on a Real-World Project: Data Ingestion, Transformation & BI Setup
🔹 Perform Testing, Debugging & Performance Tuning
🔹 Finalize with Project Review & Certification Prep

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About the Trainer

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4.9 Avg Rating

114 Reviews

138 Students

6 Courses

Abhishek Agrawal

NONE

9 Years of Experience

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