Why Snowflake: Unique selling points and business benefits

Snowflake vs Databricks vs BigQuery (comparison matrix)

Cloud-native architecture overview

Snowflake editions and pricing strategies

Setting up Snowflake account and cloud provider configuration

Virtual warehouse concepts and sizing

Compute and storage separation benefits

Cost optimization fundamentals

Database, schema, and table creation

Dimensional modeling: Star vs Snowflake schema

Snowflake data types (structured, semi-structured, unstructured)

Best practices for data organization

COPY INTO command and best practices

Loading from S3, Azure Blob, GCP storage

File formats: CSV, JSON, Parquet handling

Data transformation during ingestion

Snowpipe setup and automation

External tables for direct cloud storage querying

Event-driven data loading

Monitoring and troubleshooting ingestion

SQL-based transformations in Snowflake

Micro-partitioning and clustering keys

Query optimization techniques

Integration with ETL tools overview

Snowflake Streams for CDC

Real-time data processing patterns

Stream types and use cases

Time Travel for historical queries and data recovery

Fail-Safe mechanisms

Zero-copy cloning for development and testing

Data recovery strategies

Snowflake Tasks for query scheduling

Combining Streams and Tasks for automation

Task dependencies and error handling

DBT integration basics

Role-Based Access Control (RBAC) implementation

Creating roles and managing privileges

Multi-Factor Authentication (MFA) setup

Network policies and security best practices

Secure data sharing between accounts

Inbound and outbound sharing strategies

Data marketplace concepts

Managing shared data security

DBT setup with Snowflake

Creating DBT models and transformations

Automating DBT runs and scheduling

Testing and documentation in DBT

Power BI connector setup (ODBC vs Native)

Authentication and security configuration

Connection optimization strategies

Building interactive reports in Power BI

Import vs DirectQuery strategies

Data modeling best practices

Performance optimization techniques

Real Time Project

GBs of Data

Data ingestion from multiple sources (batch and real-time)

Dimensional modeling with DBT transformations

Automated pipeline with Streams and Tasks

Security implementation with RBAC

Power BI dashboard creation