About Snowflake Training
Course Syllabus

Version IT provides live, instructor-led Snowflake online training in Hyderabad for interested participants. Snowflake Online training sessions would be particularly interactive because both the trainer and the participants would log in at the same time. The Snowflake Online training sessions can be reviewed and summarised at the pace and convenience of the participants.

A cloud-based data warehousing and analytics tool is called Snowflake. With so many SAAS-based data warehouse products now on the market that are in direct competition with one another, Snowflake stands out from the competition due to its distinctive design and methodology. Snowflake operates using a quicker, more user-friendly application. In contrast to other data warehouse solutions, Snowflake is based on a novel SQL engine that is better suited for the cloud rather than Big Data platforms.

You will learn the following topics after completing your Snowflake Online training at Version IT

  • Learn how to leverage the Snowflake Data warehouse platform's AWS S3 Storage, Azure Blob Storage, and GCP Bucket Storage.
  • Explore the significance of snowflakes, their architecture, etc.
  • You will be able to use Snowpipe to execute bulk loading as well as continuous loading.
  • knowing how to access Snowflake's internal storage and cloud storage, as well as Data Loading and Unloading.
  • You'll learn how to create tasks, schedule tasks, secure data, copy using a snowflake, and more.

Who can Enrol The Snowflake Online Training?

The following list of professions can benefit from the Snowflake course.

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Database Architects
  • Database Administrators
  • Who are interested to learn Snowflake

There are no specific prerequisites to enrol in this course. Anyone who wants to advance their career and ability to think critically in Snowflake is allowed to enrol in the course. Data warehousing and basic SQL skills are helpful.

So Enrol Today at Version IT, one of the trusted snowflake online training institutes in Hyderabad For Snowflake Online training, we design course syllabus in such a way that the students can crack the interview in MNC’s. Our experts provide equal emphasis on theoretical and practical learning. The ability to test out real-world projects during the course period makes it simple to understand industrial requirements, which facilitates employment and promotion.

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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