This Snowflake training is designed for working professionals who have minimum sql knoweldge, and minimum python background. In this Snowflake course we will be explaining fundamental concepts like cloud warehouse, stages and advanced concepts like performance, Dbt, Snowpark and money saving steps. It’s best suitable for freshers and experienced professionals to implement end to end projects. SQL and python basic knowledge is mandatory to learn snowflake. Snowpro certification, different usecases, mock interviews helps to get a placement after this snowflake training.

  1. Snowflake training syllabus
  2. Traditional datawarehouse vs Cloud datawarehouse

Snowflake architecture

 

Snowflake Vs other datawarehouse

Internal vs external stages.

Get data from AWS S3, Azure blob storage.

Querying Data in Staged Files

Querying Metadata for Staged Files

Transforming Data During a Load

Sharing data security 

managing snowflake account

 

extending data lake using external table.

managing cost 

managing governance in snowflake

create udf in snowflake.

Loading JSON Data into a Relational Table

 

best practice:

Roles and Access Control

Virtual Warehouses

Table Design

Data Storage

Data Loading

Data Unloading

Semi-structured Data

Snowflake Marketplace

Understanding & Using Time Travel 

Snowpark using python

Snowpark end to end project.

Snowsight vs Snowflake SQL Worksheet

Loading Data into Snowflake

Bulk Loading Using COPY

Loading Continuously Using Snowpipe

 
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