Snowflake online training is designed by SpiritSofts to help individuals learn and master Snowflake, a popular cloud-based data warehousing and analytics platform. The training covers various aspects of Snowflake, including its architecture, features, and functionality. It also includes hands-on experience in designing and implementing Snowflake solutions, integrating Snowflake with other tools, and managing and optimizing Snowflake clusters. The training is delivered by experienced trainers who provide comprehensive guidance and support to learners throughout the course. By completing the Snowflake online training, learners can acquire the skills and knowledge needed to excel in Snowflake-related roles and advance their careers in the data analytics field.
- 35 hours of Instructor Training Classes
- Lifetime Access to Recorded Sessions
- Real World use cases and Scenarios
- 24/7 Support
- Practical Approach
- Expert & Certified Trainers
Snowflake course content includes Data Warehouse concepts
♦Database Vs Data Warehouse (DWH)
- What is Database
- What is Data Warehouse
- OLTP Vs OLAP
- ETL Vs ELT
- Data Warehouse concepts
♦Cloud Overview
- What is Cloud
- On Prem (DWH) Vs Cloud (DWH)
- IaaS Vs PaaS Vs SaaS
♦Introduction to Snowflake
♦Snowflake Architecture
- Service Layer
- Computation Layer
- Storage Layer
- Micro Partitions
♦Signup Snowflake trail version
♦Snowflake Editions
♦Snowflake Pricing Model
♦Components in Snowflake Web UI
♦Roles in Snowflake
♦Virtual Warehouse
- What is VWH in Snowflake
- VWH Creation through UI
- VWH Creation using Script
♦DB Creation (Using UI and Script)
- Database Creation
- Schema Creation
- Table Creation
♦Data Types
- Primitive Data Types
- Variant Data Type (for Semi Structured data)
♦Stages
- External
- Internal
♦ Inserting & Loading data into Table
♦Loading data into Snowflake table from CSV file
♦Loading data into Snowflake table from JSON file
♦Loading Data into Snowflake from AWS Cloud
- Storage Creation
- Identity Creation
- Integration Object Creation
- Copying data
♦Loading Data into Snowflake from Azure Cloud
- Storage Creation
- Identity Creation
- Integration Object Creation
- Copying data
♦Table Types
- Permanent Tables
- Transient Tables
- Temporary Tables
- External Tables
♦Views
- Non-Materialized Views
- Materialized Views
- Secure Views
♦Sequencies
♦SnowPipe (Continuous Loading)
♦Time Travel
♦Fail Safe
♦User Defined Functions
- UDFs
- UDTFs
♦Zero Copy Cloning
♦Data Sharing
- With Snowflake users
- With Non-Snowflake users
♦Stored Procedures
♦Tasks
♦CDC in Snowflake
- Streaming
- Merging
♦Data Masking
♦Python Connecting to Snowflake
♦SnowSQL
- Installation
- Configuring
- Working with SnowSQL
♦Performance Optimization & Best Practices
♦Snowflake Migration Project (Real Time) Process/Stages
♦DWH Concepts
- Fact and Dimension Tables
- Star Schema
- Snowflake Schema
- SCD Types
♦Real Time
- Technical Role in Snowflake Project as a Developer (Daily activities in Snowflake Project)
- Helping in Resume Preparation
- Interview Guidance and Mock Interviews
- Interview questions, Certification dumps
For Snowflake Interview Questions Click Here