About Snowflake Training
Course Syllabus

Snowflake training in Hyderabad from Version IT is designed to teach you how to use Snowflake to develop, install, manage, and operate a data warehouse on top of the cloud. Snowflake will allow you to load and convert data, scale virtual warehouses for performance and parallelism, share data, and deal with Semi-Structured Data. You'll also learn about query constructs, DDL and DML operations, managing and monitoring Snowflake Accounts, and Snowflake's Continuous Data Protection mechanisms.

Snowflake has the second highest market share in data-warehousing at 15.93%. Snowflake's capacity to automatically scale assists enterprises in achieving the optimal balance of performance vs. cost. Furthermore, Snowflake's unique selling point of separating computing and storage has enticed many firms, like HP, Emirates, Dominos, PepsiCo, Pizza hut, Western Union, Allianz, and Vimeo, to create their data warehouse on Snowflake, analyze data, and make crucial business choices.

Learning Snowflake is simple and can help you advance in your job. Understanding data warehousing and being able to deploy it on Snowflake can help increase your resume and set you apart from the competition.

You will be able to do the following after completing this Snowflake training:

  • Understand the fundamentals of data warehousing.
  • Install and set up Snowflake CLI
  • Snowflake should be used to implement a data warehousing solution.
  • Snowflake allows you to create virtual data warehouses.
  • Load & transform data in Snowflake
  • Create databases, schemas & tables
  • Distribute data to various stakeholders.
  • Scale virtual warehouses for performance and concurrency
  • Work with Query constructs
  • Work with Semi-Structured Data
  • Manage and monitor Snowflake Accounts
  • Perform DDL & DML Operations

Who should go for this Snowflake Training?

Anyone who understands the necessity of data warehousing and wants to learn the art of developing data warehousing on top of the cloud can enroll in our Snowflake Training In Hyderabad Ameerpet . Aside from that, anyone who aspires to master Snowflake and clear the Snowflake certification exam can enroll in this course. Our Snowflake Training has no such prerequisites. Prior understanding of Data warehousing will be beneficial but is not mandatory.

Being the Top Snowflake Training Institutes In Hyderabad, we will assist you in gaining a thorough understanding of the Snowflake data warehouse platform by covering all key aspects.

Basic SQL knowledge and understanding Datawarehouse, if required need to attend additional classes

1.Snowflake Architecture and Overview

  • Snowflake Overview
  • Architecture
  • How to use the Snowflake UI & ecosystem

2.Introduction to Cloud

  • What is Cloud
  • Different Cloud Vendors
  • Advantages of Cloud over On-Premise

3.Introduction Data Warehousing Concepts

  • What is a Data Warehouse and Why do we need Data Warehouse?
  • Database Vs Data Warehouse
  • Data Warehouse Architecture
  • What is ETL

4.Introduction to Snowflake

  • How different from traditional DB
  • Quick start to the snowflake and accessing trial account
  • Creating warehouse, DB, Schema, and tables
  • Accessing different roles and using it
  • Working with worksheets
  • Understanding different type of accounts

5.Understand Cloud platforms

  • AWS and understanding S3 storage
  • Snowflake architecture and caching
  • AZURE and understanding blob storage
  • GCP and understanding Bucket storage

6.Data Loading and Unloading

  • File formats
  • Internal and external storage
  • Internal and external stage
  • Copy into usage
  • Snowflake internal storage
  • Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS)
  • Data unloading

7. SnowPipe

  • Accessing Snowpipe
  • PUT and GET commands
  • Bulk loading from cloud storage
  • Continuous loading

8. Partner connect with snowflake

  • Snowflake Connector and use cases Python
  • BI connectors use cases
  • Other connectors hands-on

9. Handling JSON and Semi structure data

  • Variant Datatype
  • File format options
  • Creating stages
  • Loading JSON semi-structured data into SF tables
  • Accessing JSON with select statement

10. Scheduling with Snowflake

  • Creating Tasks
  • Streams
  • Accessing procedures with tasks
  • Scheduling as per time with Different time zones
  • Automate loading process Daily and Weekly

11. Secure Data sharing

  • Usage of sharing data
  • Sharing data with different accounts
  • Sharing data with non-SF accounts using reader accounts
  • Importance of reader accounts
  • Privileges in data sharing
  • Challenges with cross-region sharing and understanding replication
  • Connecting shared objects with BI tools
  • Limitations with Data sharing

12. Cloning

  • Access Control Privileges for Cloned Objects
  • Cloning and Snowflake Objects
  • Impact of DDL on Cloning
  • Impact of DML and Data Retention on Cloning

13. Time travel &Failsafe

  • Introduction to Time Travel
  • Querying Historical Data
  • Enabling and Disabling Time Travel
  • Data Retention Period
  • Cloning Using Time Travel (Databases, Schemas, and Tables Only)

14. Query Caching, Clustering, and Performance techniques

  • Creating multi-users on large tables
  • Performance techniques
  • Result set cache
  • Metadata cache
  • Query data cache
  • Best practices of using caching for performance and cost optimization

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