Snowflake Training

snowflake training

Obtain all the training by our certified professionals which is having working experience from Top IT companies. The Snowflake Training in is every thing we explained based on real time scenarios, it works which we do in companies.

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We are providing basic level to expert level Online Snowflake training for Beginner by Snowflake Experts 100% Job Oriented Snowflake Course and we are conduct live Mock Interview | Questions and Answers to Our Students.

Key FeaturesCourse Content
  • 30 hours of Instructor Training Classes
  • Lifetime Access to Recorded Sessions
  • Real World use cases and Scenarios
  • 24/7 Support
  • Practical Approach
  • Expert & Certified Trainers

Domain 1: Account and Security

1.1 Explain how to manage Snowflake accounts.

  • Account usage
  • Information schema

1.2 Outline security principles.

  • Multi-factor Authentication (MFA)
  • Data Encryption
  • Network Security & Policies
  • Access Control
  • Federated Authentication
  • Single Sign-On (SSO)

1.3 Define the entities and roles that are used in Snowflake.

  • Outline how privileges can be granted and revoked
  • Explain Role Hierarchy and Privilege Inheritance

1.4 Explain the Security capabilities associated with each

  • Snowflake edition.
  • Data masking

1.5 Outline Data Governance capabilities in Snowflake

  • Data masking
  • Account usage views
  • External Tokenization

Domain 2: Virtual Warehouses

2.1 Outline compute principles.

  • Credit usage & billing
  • Concurrency
  • Caching

2.2 Explain Virtual Warehouse best practices.

  • Scale up vs scale out
  • Types of virtual warehouses
  • Management/monitoring

Domain 3: Data Movement

3.1 Outline different commands used to load data and when they should be used.

  • COPY
  • INSERT
  • PUT
  • GET
  • VALIDATE

3.2 Define bulk as compared to continuous data loading methods.

  • COPY
  • Snowpipe

3.3 Define best practices that should be considered when loading data.

  • File size
  • Folders

3.4 Outline how data can be unloaded from Snowflake to either local storage or cloud storage locations.

  • Define formats supported for unloading data from Snowflake
  • Define best practices that should be considered when unloading data

3.5 Explain how to work and load semi-structured data.

  • Supported file formats
  • VARIANT column
  • Flattening the nested structure

Domain 4: Performance Management

4.1 Outline best practices for Snowflake performance management on storage.

  • Clustering
  • Materialized views
  • Search Optimization

4.2 Outline best practices for Snowflake performance management on virtual warehouses.

  • Query performance and analysis
  • Query profiles
  • Query history
  • SQL optimization
  • Caching

Domain 5: Snowflake Overview & Architecture

5.1 Outline key components of Snowflake’s Cloud data platform.

  • Data Types
  • Optimizer
  • Continuous data protection
  • Cloning
  • Types of Caching
  • Web Interface (UI)
  • Data Cloud/Data Sharing/Data Marketplace/Data Exchange

5.2 Outline Snowflake data sharing capabilities.

  • Account types
  • Data Marketplace & Exchange
  • Access Control options
  • Shares

5.3 Explain how Snowflake is different compared to legacy warehouse solutions.

  • Elastic Storage
  • Elastic Compute
  • Account Management

5.4 Outline the different editions that are available, and the

  • functionality associated with each edition.
  • Pricing
  • Features

5.5 Identify Snowflake’s Partner Ecosystem

  • Cloud Partners
  • Connectors

5.6 Outline and define the purpose of Snowflake’s three distinct layers.

  • Storage Layer
  • Compute Layer
  • Cloud Services Layer

5.7 Outline Snowflake’s catalog and objects.

  • Database
  • Schema
  • Tables Types
  • View Types
  • Data Types
  • External Functions

Domain 6: Storage and Protection

6.1 Outline Snowflake Storage concepts.

  • Micro partitions
  • Metadata Types
  • Clustering
  • Data Storage
  • Stage Types
  • File Formats
  • Storage Monitoring

6.2 Outline Continuous Data Protection with Snowflake.

  • Time Travel
  • Fail Safe
  • Data Encryption
  • Cloning
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