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Hamid Qureshi

Master the fundamental Snowflake concepts and acquire the necessary skills to start implementing Snowflake-based solutions through Snowflake Decoded.

This course covers everything you need to know to become a Snowflake pro.

Read more

Master the fundamental Snowflake concepts and acquire the necessary skills to start implementing Snowflake-based solutions through Snowflake Decoded.

This course covers everything you need to know to become a Snowflake pro.

Whether you’re a:

  • novice aiming to learn Snowflake from scratch

  • an IT professional looking to advance your skills

  • or a technology leader evaluating the Snowflake eco-system…

… this course is tailored for your success.

Topics inside Snowflake Decoded (high-level view)

Introduction - Explore Snowflake’s history and what separates it from traditional databases.

Getting Started - Sign up, set up tools, and create & load our first table.

Architecture - Uncover Snowflake’s unique, decoupled architecture. Learn how it differs from traditional databases. Learn how virtual warehouses enable scalable computing as per demand.

Getting Data into Snowflake - Discover methods for loading data into Snowflake. This includes bulk copy and Snowpipe. Learn to stage data in S3 and handle semi-structured data like JSON.

Time Travel & Zero Copy Clones - Leverage Snowflake’s exclusive features. Learn how Time Travel recovers data and combines it with Cloning for historical data without extra storage costs.

Secure Data Sharing - Unlock effortless data sharing within and outside the Snowflake eco-system. Explore efficient sharing methods while minimizing storage duplication.

Why Snowflake Decoded is unique

Snowflake Decoded is unique to any other Snowflake course because we:

  • Cover a wide range of topics, from fundamental to advanced levels

  • Make advanced concepts simple to comprehend using easy-to-understand diagrams

  • Embrace a hands-on learning approach. You’ll apply your theory in real-world scenarios through hands-on lectures and lab assignments

Final thoughts

By the course’s conclusion, you’ll have the confidence and the skills to implement Snowflake-based solutions - just like the 44,000+ students who have completed this course.

Snowflake expertise is in high demand, opening doors to exciting career opportunities.

Since we’re so confident in the value of this course, we offer a 30-day money-back guarantee. No questions asked.

Don’t delay your journey to Snowflake mastery any longer.

Dive into the world of Snowflake today and elevate your data career to new heights by enrolling now.

Enroll now

What's inside

Learning objectives

  • Explore the snowflake essentials: it’s unique architecture and differentiation
  • Master the staging and ingestion of bulk and streaming data from cloud storage
  • Discover snowflake’s value proposition through its pricing model
  • Harness scalability with virtual warehouse complete clusters
  • Uncover unique features like zero-copy clones and time travel
  • Share data securely with snowflake and non-snowflake users

Syllabus

Introduction
Introduction to this Course
Introduction to the instructor
Introduction to Snowflake
Read more
Snowflake Editions
Signup for a Snowflake Trial Account
Signup for a Snowflake Trial
Snowflake Web User Interface
Create a virtual warehouse
Snowflake Architecture
Snowflake Architecture sets it apart!
Traditional Database Architecture
Snowflake Hybrid Architecture
Compute Layer - Virtual Warehouses
Lab: Creating a new Virtual Warehouse
Storage Layer - Micropartitions
Cloud Services Layer
Compute Layer - additional aspects of virtual warehouses
How is Snowflake costed
Architecture
Snowflake Interfaces & Tools
Hands-on: Install SnowSQL & connect to your Snowflake instance
Snowflake Tools & Interfaces
Load & Unload Data in Snowflake
High level view of data loading in Snowflake
Role of Stage in Data Loading
Internal stages & Named Internal Stage
Hands-on: Loading data using named internal stage
Lab: Data Loading from on-premises via internal stage
External Stage
Hands-on: Loading data using an external stage
Lab: Loading data using an External Stage
Tables Stage & User Stage
Lab: Data Loading using a Table Stage
Basic Data Transformations while loading data
External Tables: sometimes an alternate to data loading
Unloading / Exporting data from Snowflake
Loading & Unloading Data
Continuous Data Protection
Continuous data protection in Snowflake
Back to the future with Time Travel
How Time Travel works in Snowflake
Time Travel Syntax
Hands-on: Time Travel in Action
Lab: Time Travel in Action
Hands-on: Undrop using Time Travel
Lab: Undrop using Time Travel
Introduction to Fail-Safe Storage
Time Travel & Fail-Safe storage costs
Types of tables in Snowflake
Hands-on: Temporary & Transient Tables
Lab: Create Temporary and Transient tables
Cloning in Snowflake
Introduction to Zero-Copy Cloning
How Cloning works in Snowflake
Hands-on: Clone a table
Lab: Clone a Table
Hands-on: Clone a complete database & a complete schema
Lab: Clone a complete schema & a complete database
Hands-on: Cloning with Time Travel
Lab: Cloning with Time Travel
Data Sharing in Snowflake
Secure data sharing in Snowflake
How Data Sharing works
Snowflake offerings for Data Sharing
Direct Sharing
Hands-on: Share a table with another Snowflake account
Lab: Direct Sharing using SQL
Hands-on: Share a table with another account using the UI
Lab: Direct Sharing using User Interface
Hands-on: Share table with a non-Snowflake customer
Snowflake Marketplace
Hands-on: Explore Snowflake Marketplace
Lab: Explore Snowflake Marketplace
Data Exchange
Data Sharing
Performance Optimization in Snowflake
Introduction to Performance Optimization in Snowflake
Understanding Query Execution in Snowflake
Hands-on: Access & View Query Profile
Lab: Access and Explore Query Profile
Caching in Snowflake
Query Result Cache
Hands-on: Demonstrate Query Result Cache
Lab: Demonstrate Query Result Cache
Metadata Cache
Hands-on: Demonstrate Metadata Cache
Lab: Demonstrate Metadata Cache
Virtual Warehouse or Local Disk Cache
Hands-on: Demonstrate Virtual Warehouse Cache
Lab: Virtual warehouse cache reuse
Partition Pruning & Clustering Keys
Scaling up and down a virtual warehouse
Multi-cluster virtual warehouse - scaling out
Materialized Views
Introducing Search Optimization Service

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops core skills for building with Snowflake, which is relevant in cloud computing
Taught by Hamid Qureshi, who are recognized for their work in Snowflake
Covers virtual warehouses, which helps learners be scalable
Examines data sharing, which is highly relevant in today's world
Teaches how to avoid extra storage costs with Time Travel
Course completion qualifies you for career progression in the growing Snowflake industry

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Reviews summary

Snowflake data essentials

learners say 'This course is a highly-rated resource for building a foundational understanding of Snowflake. With hands-on assignments, quizzes, and labs, the course covers key features like lectures, readings, and exams. It helps you understand how to use Snowflake's unique capabilities, such as data sharing, time travel, and cloning, making it a valuable resource for data analysts, engineers, and anyone looking to enhance their knowledge of Snowflake.'
The course's hands-on exercises, labs, and assignments are highly praised for reinforcing the concepts covered.
"engaging assignments"
"hands-on exercises and labs"
"hands-on"
The instructor's expertise and clear explanations make the course easy to follow and understand.
"knowledgeable"
"clear explanations"
Learners largely agree that the course provides a comprehensive overview of Snowflake's essential concepts.
"largely positive"
A few learners express that the course could benefit from more in-depth coverage of certain topics.
"difficult exams"
"not enough information"
Some learners mention that certain aspects of the course content may be outdated.
"outdated"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Snowflake Decoded - Master the Fundamental Concepts with these activities:
Snowflake Marketplace Exploration
Familiarize yourself with the Snowflake Marketplace and discover valuable resources and integrations.
Browse courses on Data Exchange
Show steps
  • Browse the Snowflake Marketplace.
  • Identify and explore relevant solutions and integrations.
  • Review documentation and case studies to understand potential benefits.
Snowflake Hands-on Lab
Participate in a hands-on lab to gain practical experience with Snowflake's features and capabilities.
Show steps
  • Register for the Snowflake Hands-on Lab.
  • Attend the lab and complete the exercises.
  • Apply the knowledge gained to your own Snowflake projects.
Query Execution Analysis
Improve your understanding of how Snowflake processes and executes queries.
Browse courses on Query Optimization
Show steps
  • Access and investigate Query Profile.
  • Evaluate query performance statistics to identify areas for improvement.
  • Experiment with different query parameters to optimize performance.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Time Travel and Clone Operations
Practice using Time Travel and Cloning to recover and analyze historical data.
Show steps
  • Create a table and insert data.
  • Perform updates and deletions on the table.
  • Use Time Travel to retrieve data as of a specific point in time.
  • Create a clone of the table to preserve historical data.
Performance Tuning Techniques
Enhance your understanding of performance tuning techniques to improve query execution efficiency in Snowflake.
Browse courses on Query Optimization
Show steps
  • Analyze query performance using Query Profile.
  • Experiment with different virtual warehouse configurations.
  • Implement caching mechanisms to improve performance.
  • Monitor and adjust settings to optimize performance.
Data Ingestion and Transformation Pipeline
Develop a data ingestion and transformation pipeline to load and prepare data for analysis in Snowflake.
Browse courses on ETL Processes
Show steps
  • Design the data ingestion process.
  • Implement data transformation logic.
  • Test and validate the pipeline.
  • Monitor and maintain the pipeline.
Snowflake Community Contributions
Contribute to the Snowflake community by sharing knowledge, answering questions, or submitting bug reports.
Browse courses on Community Involvement
Show steps
  • Join the Snowflake Community.
  • Participate in discussions and answer questions in the Snowflake Forum.
  • Report bugs or suggest improvements on the Snowflake GitHub repository.

Career center

Learners who complete Snowflake Decoded - Master the Fundamental Concepts will develop knowledge and skills that may be useful to these careers:
Data Security Analyst
Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their skills in data security, data privacy, and data compliance to implement and maintain data security measures. The Snowflake Decoded course can be helpful for Data Security Analysts as it provides an overview of the Snowflake platform, including its security features and compliance certifications. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Database Designer
Database Designers design and build databases. They use their skills in data modeling, data normalization, and data security to create databases that meet the needs of organizations. The Snowflake Decoded course can be helpful for Database Designers as it provides an overview of the Snowflake platform, including its architecture, storage options, and security features. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses. They use their skills in data modeling, data integration, and data quality to create data warehouses that meet the needs of organizations. The Snowflake Decoded course can be helpful for Data Warehouse Architects as it provides an overview of the Snowflake platform, including its architecture, storage options, and security features. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Architect
Data Architects design and build data architectures. They use their skills in data modeling, data integration, and data governance to create data architectures that meet the needs of organizations. The Snowflake Decoded course can be helpful for Data Architects as it provides an overview of the Snowflake platform, including its architecture, data loading, and storage options. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They use their skills in database design, performance tuning, and security to ensure that databases are running smoothly and efficiently. The Snowflake Decoded course can be helpful for Database Administrators as it provides an overview of the Snowflake platform, including its architecture, storage options, and security features. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They use their skills in data governance, data quality, and data security to ensure that data is used in a consistent and ethical manner. The Snowflake Decoded course can be helpful for Data Governance Analysts as it provides an overview of the Snowflake platform, including its data security and data sharing features. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Integration Engineer
Data Integration Engineers design and build data integration solutions. They use their skills in data integration, data quality, and data governance to integrate data from multiple sources into a single, unified data warehouse. The Snowflake Decoded course can be helpful for Data Integration Engineers as it provides an overview of the Snowflake platform, including its data loading, transformation, and storage options. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Business Analyst
Business Analysts use their skills in business analysis, data analysis, and problem-solving to help organizations make informed decisions. The Snowflake Decoded course can be helpful for Business Analysts as it provides a strong foundation in the Snowflake platform, which is a leading cloud-based data warehouse. The course covers topics such as data loading, transformation, and analysis, which are essential skills for Business Analysts.
Data Analyst
Data Analysts analyze and interpret data to help organizations make informed decisions. They use their skills in statistics, programming, and data visualization to extract meaningful insights from data. The Snowflake Decoded course can be helpful for Data Analysts as it provides a strong foundation in the Snowflake platform, which is a leading cloud-based data warehouse. The course covers topics such as data loading, transformation, and analysis, which are essential skills for Data Analysts. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Scientist Intern
Data Scientist Interns apply their skills in statistics, machine learning, and data analysis to help organizations make informed decisions. The Snowflake Decoded course can be helpful for Data Scientist Interns as it provides a strong foundation in the Snowflake platform, which is a leading cloud-based data warehouse. The course covers topics such as data loading, transformation, and analysis, which are essential skills for Data Scientist Interns.
Data Engineer
Data Engineers design, build, and maintain data pipelines and systems. They use their skills in data architecture, data integration, and data quality to ensure that data is accurate, consistent, and accessible. The Snowflake Decoded course may be helpful for Data Engineers as it provides an overview of the Snowflake platform, including its architecture, data loading, and storage options. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They use their skills in cloud computing, networking, and security to build cloud-based solutions that meet the needs of organizations. The Snowflake Decoded course may be helpful for Cloud Architects as it provides an overview of the Snowflake platform, including its architecture, storage options, and security features. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Data Scientist
Data Scientists use their skills in statistics, machine learning, and data analysis to build models and algorithms that can predict future trends and identify patterns in data. The Snowflake Decoded course may be helpful for Data Scientists as it provides an overview of the Snowflake platform, including its data loading, transformation, and analysis capabilities. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Technical Product Manager
Technical Product Managers are responsible for the development and launch of new products and features. They use their skills in product management, technology, and marketing to bring new products to market that meet the needs of customers. The Snowflake Decoded course may be helpful for Technical Product Managers as it provides an overview of the Snowflake platform, including its architecture, data loading, and storage options. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills in programming, software design, and testing to build software that meets the needs of users. The Snowflake Decoded course may be helpful for Software Engineers as it provides an overview of the Snowflake platform, including its architecture, data loading, and storage options. Additionally, the course provides hands-on experience with Snowflake, which is a valuable asset for job seekers.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Snowflake Decoded - Master the Fundamental Concepts.
Comprehensive resource for learning how to use Snowflake. It practical, hands-on guide with plenty of examples and illustrations. The book covers all aspects of Snowflake, from its architecture and pricing to its data loading and querying capabilities.
Provides a detailed overview of Snowflake's developer tools and APIs. It covers topics such as data integration, data transformation, and application development. It valuable resource for anyone who wants to develop applications on Snowflake.
Provides a detailed overview of Snowflake's data engineering and data management capabilities. It covers topics such as data ingestion, data transformation, and data quality. It valuable resource for anyone who wants to use Snowflake to build data-driven applications.
The Data Warehouse Toolkit classic in the field of data warehousing and provides a more theoretical background to supplement this course.
Provides a guide to using Snowflake for developers. It covers a wide range of topics, from data integration and transformation to data warehousing and analytics. This book would be particularly useful as a background reference or as additional reading.
Provides a guide to using Snowflake for data analysts. It covers a wide range of topics, from data exploration and visualization to data mining and machine learning. This book would be particularly useful as a background reference or as additional reading.

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