Snowflake Training
A Snowflake course focuses on using the Snowflake cloud data platform for data warehousing, analytics, and data management.
Snowflake Course Syllabus
- Overview of Snowflake and its Architecture
- Key Features and Benefits of Snowflake
- Snowflake's Cloud-Native Approach
- Snowflake’s Data Sharing and Marketplace Capabilities
- Introduction to Snowflake’s User Interface and Tools
- Creating a Snowflake Account and Setting Up an Environment
- Understanding Snowflake’s Editions and Pricing
- Navigating the Snowflake Web Interface
- Connecting to Snowflake Using SQL Clients (e.g., SnowSQL, DBeaver)
- Understanding Snowflake's Architecture: Databases, Schemas, Tables
- Loading Data into Snowflake
- Using the Snowflake Web Interface
- Loading Data from Local Files and Cloud Storage (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage)
- Using the COPY Command
- Data Formats Supported: CSV, JSON, Parquet, Avro
- Unloading Data from Snowflake
- Using the UNLOAD Command
- Exporting Data to Cloud Storage
- Designing a Snowflake Schema
- Creating and Managing Databases, Schemas, and Tables
- Working with Snowflake Objects: Views, Materialized Views, and Stages
- Understanding Data Types and Constraints
- Implementing Data Governance and Security
- Writing and Executing SQL Queries
- Using Standard SQL Functions and Operators
- Working with Joins, Subqueries, and CTEs (Common Table Expressions)
- Advanced Query Techniques: Window Functions, Recursive Queries
- Performance Optimization for Queries
- Introduction to Data Transformation in Snowflake
- Using Snowflake’s SQL for Data Transformation
- Creating and Managing Streams and Tasks for ETL
- Implementing Data Pipelines with Snowflake
- Best Practices for Data Transformation
• Understanding Snowflake's Architecture for Performance
• Using Warehouses and Scaling Compute Resources
• Query Optimization Techniques
• Analyzing Query Performance with the Query Profile Tool
• Using Caching and Result Sets Efficiently
- Snowflake Security Architecture
- Implementing User Roles and Access Controls
- Data Encryption: In-Transit and At-Rest
- Managing Key Management and Access Control
- Compliance and Data Privacy Considerations
- Understanding Snowflake Data Sharing Capabilities
- Creating and Managing Data Shares
- Sharing Data Securely with External Parties
- Leveraging Snowflake Marketplace for Data and Services
- Integrating Snowflake with BI Tools (e.g., Tableau, Power BI, Looker)
- Connecting Snowflake to ETL Tools (e.g., Informatica, Talend)
- Using Snowflake with Data Science and Machine Learning Tools (e.g., Python, R)
- Integrating Snowflake with Cloud Platforms and Services
- Monitoring Snowflake Usage and Performance
- Managing Resources and Cost Control
- Setting Up Alerts and Notifications
- Using Snowflake's Account Usage Views and Query History
- Managing Failures and Recovery
- Time Travel and Data Recovery
- Zero Copy Cloning for Data Management
- Snowflake’s Semi-Structured Data Support (e.g., JSON, XML, Avro)
- Advanced Data Sharing and Federation
- Data Lake Integration and Data Mesh Concepts
- Designing and Implementing a Real-World Snowflake Solution
- Developing Data Pipelines and ETL Processes
- Performance Tuning and Optimization in Practice
- Case Studies of Successful Snowflake Implementations
