Snowflake

Master Snowflake multi-cluster architecture, Snowpark, data sharing, Streams & Tasks, and cloud data lakes.

Snowflake CloudSnowpark (Python)SnowpipeAWS S3 / Azure BlobSnowflake SQL

View Curriculum ↓Enroll Now ↗📊 Intermediate to Advanced

Program Highlights

Key Benefits

Expert-led live sessions

Learn directly from experienced data scientists and AI engineers through interactive, live sessions.

Hands-on project labs

Apply your knowledge to real-world problems using industry-standard ML tools and frameworks.

Industry certification

Earn a recognized certification upon completion to showcase your AI & Machine Learning expertise.

Small batch sizes

Enjoy personalized attention and mentorship with our strictly limited batch sizes.

Career placement support

Get job-ready with resume building, interview prep, and dedicated placement assistance.

Lifetime access to recordings

Never lose your materials. Get lifetime access to all session recordings and course updates.

Course Curriculum

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Unit 1: Snowflake Architecture & Virtual Warehouses16 Hours

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Unit 2: Data Loading, Stages & Continuous Snowpipe16 Hours

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✓Internal and External Stages (AWS S3, Azure Blob, Google Cloud Storage integration)

✓COPY INTO operations, file format definitions, error handling, and data validation

✓Automated continuous ingestion with Snowpipe using cloud event notifications (SNS / SQS)

✓Hands-on Lab: Automated serverless ingestion pipeline streaming telemetry data from S3

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Unit 3: Semi-Structured Data & Advanced Analytics16 Hours

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✓Querying JSON, XML, and Parquet data using VARIANT, ARRAY, OBJECT, and FLATTEN functions

✓Snowflake Time Travel (querying historical data up to 90 days), Fail-Safe, and UNDROP

✓Zero-Copy Cloning for instant development and testing database replication without storage cost

✓Hands-on Lab: Building an analytics datamart on multi-nested JSON e-commerce event streams

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Unit 4: Real-Time Pipelines: Streams, Tasks & Snowpark16 Hours

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✓Change Data Capture (CDC) with Snowflake Streams (Standard, Append-Only, Insert-Only)

✓Scheduling automated transformations with Tasks and Serverless Task DAGs

✓Snowpark Python: Dataframe API, Stored Procedures, and User-Defined Functions (UDFs)

✓Hands-on Lab: End-to-end automated Change Data Capture pipeline updating dimensional models

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Unit 5: Data Sharing, Security & Enterprise Governance16 Hours

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Hands-On Practice

4. Hands-on Production Capstone Projects

Enterprise Multi-Source Streaming Data Warehouse

Continuous automated ingestion pipeline with Snowpipe, Streams, and Tasks processing millions of events into Star Schema datamarts.

Snowpark Python Machine Learning & Analytics Engine

Scalable data processing and scoring pipeline executing complex statistical models directly within Snowflake compute.

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