About Snowflake Training
Course Syllabus

What is Snowflake?

Snowflake is a cloud based data warehousing and analytics tooldeveloped by US-based cloud computing company, Snowflake Inc. This software-as-a-service (SaaS) platform allows data storage and data processing, and helps in building highly scalable, high performance next-generation data warehouse for a company.

Key features:

Snowflake is known for its

  • Pay-per-use platform – cost is based on your actual usage
  • User friendliness - user does not require coding background
  • Flexibility, scalability and high performance
  • High Compatibility - compatible with BI tools like Tableau and programming languages like java, .net, Python etc.

About the course:

Snowflake is one of the on-demand courses in the market. Version IT is one of the few institutes that offer Snowflake offline training in India. Our structured training program will prepare you to master data warehousing on the cloud in no time. The course is designed in a beginner friendly format, helping you to understand the basics of cloud, SAAS and how it all works together in the background.

Our Snowflake Offline training helps you to learn data warehousing tools and concepts easily and from the comfort of your home.

What you will learn in the course?

We have the best Snowflake online training course that covers all important concepts like snowflake objects, cloning, undrop fail-safe, Snow Pipe and analytics solutions.

Being the best Snowflake Offline training institute in Hyderabad, our aim is to help you master the fundamentals of Snowflake’s data warehousing concepts and get hands-on with the platform.

By the end of the course you will be able to understand Snowflake architecture and overview, define data warehousing concepts, load and transform data in Snowflake, scale virtual warehouses for performance and concurrency, share data and work with semi-structured data.

You will also gain a thorough knowledge of query caching, clustering, performance techniques, DDL and DML operations, and accessing managing and monitoring different types of Snowflake accounts.

Training Overview:

Version IT offers the best Snowflake Offline training in Hyderabad and if you are a data sciences enthusiast, this course is a must to choose.

Version IT’s Snowflake Online training course follows a flexible training schedule with online doubt clearing sessions and one-to-one feedback by the faculty. Our tutors are industry experts with around a decade of experience in training students on various data platforms.

Learners can attend instructor-led live online classes from the comfort of their homes. Also, the participants will be given access to course content so that they can easily revise and recap the training sessions at their own time and convenience.

Join our Snowflake Online training in Hyderabad today to get the much needed breakthrough in your career and stand a chance of securing a high paying job.

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
  • OLTP Vs OLAP
  • 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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