Learn Snowflake from industry experts with our online training program

 


Learn Snowflake from industry experts by SpiritSofts with our comprehensive online training program that covers all aspects of Snowflake, including architecture, data loading, querying, optimization, and administration. Our instructors have years of practical experience in Snowflake and will guide you through hands-on exercises and projects to help you master the platform. You will gain a deep understanding of Snowflake's unique features, including its cloud-based architecture, multi-cluster warehouse, and ability to handle large volumes of data. Upon completion of the program, you will be well-prepared to take on Snowflake-related projects and pursue a career in data analytics. Join our program today and unlock the power of Snowflake!

Ø Database Vs Data Warehouse (DWH)

§ 
What is Database

§  What is Data Warehouse

§  OLTP Vs OLAP

§  ETL Vs ELT

§  Data Warehouse concepts

Ø Cloud Overview

§  What is Cloud

§  On Prem (DWH) Vs Cloud (DWH)

§  IaaS Vs PaaS Vs SaaS

Ø Introduction to Snowflake

Ø Snowflake Architecture

§  Service Layer

§  Computation Layer

§  Storage Layer

§  Micro Partitions

Ø Signup Snowflake trail version

Ø Snowflake Editions

Ø Snowflake Pricing Model

Ø Components in Snowflake Web UI

Ø Roles in Snowflake

Ø Virtual Warehouse

§  What is VWH in Snowflake

§  VWH Creation through UI

§  VWH Creation using Script


Ø  DB Creation (Using UI and Script)

§  Database Creation

§  Schema Creation

§  Table Creation

Ø Data Types

§  Primitive Data Types

§  Variant Data Type (for Semi Structured data)

Ø Stages

§  External

§  Internal

Ø Inserting & Loading data into Table

Ø Loading data into SF table from CSV file

Ø Loading data into SF table from JSON file

Ø Loading Data into SF from AWS Cloud

§  Storage Creation

§  Identity Creation

§  Integration Object Creation

§   Copying data

Ø Loading Data into SF from Azure Cloud

§  Storage Creation

§  Identity Creation

§  Integration Object Creation

§   Copying data

Ø Table Types

§  Permanent Tables

§  Transient Tables

§  Temporary Tables


§  External Tables

 

 

Ø Views

§  Non-Materialized Views

§  Materialized Views

§  Secure Views

Ø Sequencies

Ø SnowPipe (Continuous Loading)

Ø Time Travel

Ø Fail Safe

Ø User Defined Functions

§  UDFs

§  UDTFs

Ø Zero Copy Cloning

Ø Data Sharing

o   With Snowflake users

o   With Non-Snowflake users

Ø Stored Procedures

Ø Tasks

Ø CDC in Snowflake

§  Streaming

§  Merging

Ø Data Masking

Ø Python Connecting to Snowflake

Ø SnowSQL

§  Installation

§  Configuring


§  Working with SnowSQL

Ø Performance Optimization & Best Practices

Ø Snowflake Migration Project (Real Time) Process/Stages

Ø DWH Concepts

§  Fact and Dimension Tables

§  Star Schema

§  Snowflake Schema

§  SCD Types

§  Point In Time Snapshot

Ø Technical Role in Snowflake Project as a Developer (Daily activities in Snowflake Project)

Ø Helping in Resume Preparation

Ø Interview Guidance and Mock Interviews

Ø Interview questions, Certification dumps