Corporate Training

Snowflake

Snowflake is a cloud-based data warehousing platform that allows organizations to store, analyze, and share large amounts of data. It is designed to handle massive volumes of data with high performance and scalability.

It is a giant storage system that can hold all of that data securely in the cloud.

Snowflake

Snowflake

Key Features of Snowflake:

Unique Architecture,

virtual warehouses with scalability,

secure environment,

ease of use [User-friendly interface that supports standard SQL queries - means, people familiar with SQL can easily work with the data stored in Snowflake].

Snowflake is a popular choice for businesses and organizations that deal with big data.

Snowflake

Student Journey

Once you enroll in our Snowflake training, your journey involves several key steps. You will be trained by our tutor with a minimum of 12+ yrs of Snowflake/relevant Data warehousing experience. This course covers, Snowflake architecture, basics of cloud and various cloud platforms, Data warehousing, cloning, securing data, best practices. This study journey should give you a solid foundation to start working with Snowflake and continue expanding your knowledge over time. You can appear for an official #SnowPro core certification after this training.

Snowflake- Student Journey
Snowflake- Student Journey

Course Content

  • Snowflake Course Content

    MODULE 1: SNOWFLAKE ARCHITECTURE 

    • Snowflake Overview

    • Exploring the Snowflake Architecture

    • How to use the Snowflake UI & ecosystem

    MODULE 2: CLOUD OVERVIEW

    • Introduction to cloud Different cloud vendors

    • Advantages of cloud over on premises

    MODULE 3: DATA WAREHOUSING   

    • What is data warehousing?

    • Why data warehousing?

    • Data Warehouse architecture OLTP vs OLAP ETL overview

    MODULE 4: INTRODUCTION TO SNOWFLAKE  

    • How different from traditional

    • DB Quick started to the snowflake and accessing trial account.

    • Creating warehouse, DB, Schema, and tables (Perm, trans, temp, Hybrid -Unistore)

    • Accessing different roles and using it

    • Working with worksheets Understanding different type of accounts

    MODULE 5: UNDERSTANDING THE CLOUD PLATFORMS  

    • AWS and understanding S3 storage. 

    • Snowflake architecture and caching

    • AZURE and understanding blob storage.

    • GCP and understanding Bucket storage.

    MODULE 6: DATA LOADING AND UNLOADING 

    • File formats 

    • Internal and external storage 

    • Copy into usage snowflake internal storage Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS) 

    • Data unloading

    MODULE 7: SNOWPIPE 

    • Accessing Snowpipe 

    • PUT and GET commands. 

    • Bulk loading from cloud storage Continuous loading

    MODULE 8: PARTNER CONNECT WITH SNOWFLAKE  

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

    MODULE 9: HANDLING JSON AND SEMI STRUCTURED DATA 

    • Variant Data Type File format options 

    • Creating stages

    • Loading JSON semi-structured data into SF tables 

    • Accessing JSON with select statement. 

    MODULE 10: SCHEDULING WITH SNOWFLAKE  

    • Streams 

    • Task (serverless and capacity based)

    • Accessing procedures with tasks 

    • Scheduling as per time with Different time zones Automate loading process Daily and Weekly

    MODULE 11: SECURE DATA SHARING 

    • Usage of sharing data

    • Sharing data with different accounts

    MODULE 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

    MODULE 13: TIME TRAVEL AND FAILSAFE 

    • Introduction to Time Travel 

    • Querying Historical Data 

    • Enabling and Disabling Time Travel Data Retention Period 

    • Cloning Using Time Travel

    MODULE 14: QUERY CACHING 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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More about Snowflake

Snowflake's versatility and performance have made it a popular choice for businesses dealing with large and diverse datasets. Its cloud-native architecture, easy scalability, and automatic management make it a strong contender in the data warehousing and analytics space.

Course FAQs:

1. Can I take this Snowflake course online?

  • Yes, you can take this virtually [online].

2. Do you provide a Snowflake course completion certificate?

  • Yes, on completing the full Snowflake course, you will receive a course completion certificate from Traininghub.io. The Snowflake course with a certificate will be proof of your knowledge and ability to use it.

3. What are the system requirements? 

  • Windows or equivalent environment with Internet browser, high-speed Internet connectivity and a Snowflake free trial account.

4. What if I miss a class?

  • If you miss a class, you can access the class recordings at any time. 

5. What platform do you use for video/audio conferencing?

  • Online classes are currently conducted over the Zoom/GoToMeeting platform.

6. Will I have other participants in the class?

  • Yes, there are other participants who actively participate in the class.

7. Do I get a discount on the courses?

  • Yes, you can avail a group discount if you join as a group of 5 or more.

8. Which certification can I appear after this training?

  • You can appear for the SnowPro Core Certification Exam.

9. Will the trainer help with my queries during the training?

  • Yes, our trainer will assist and provide solutions to your queries.