Snowflake Essentials - A Comprehensive Masterclass
A compact course on Snowflake Data Platform and Snowflake SQL

What you will learn
Learn Snowflake SQL commands, functions, and data types
Learn Snowflake architecture and core concepts
Learn advanced Snowflake features and performance optimization
Learn development skills for building Data Pipelines using Snowflake
Why take this course?
π¨ Snowflake Essentials - A Comprehensive Masterclass 2024 π
Course Title:
A compact course on Snowflake Data Platform and Snowflake SQL
For Whom?
This course is perfect for:
- Software Developers (including Data Engineers, ETL developers, backend developers, etc.) who are eager to build modern data applications using Snowflake.
- Data Scientists (and other analytical roles such as Data Analysts, Business Intelligence developers, etc.) looking to build data models and AI applications using Snowflake.
- None-IT Analysts aiming to query Snowflake and derive insights from their residing data.
- Managers and business directors who need to understand the technical and maintenance aspects of adopting Snowflake as a platform.
- Hard-working students interested in learning SQL in a structured manner, writing clean code, and diving into Data Engineering principles.
Your Instructors:
Our team consists of experts in Data Engineering, Data Modeling, and Software Development. We have leveraged our combined expertise to design this comprehensive course that goes beyond the basics by delving into fundamental SQL topics from the ground up, ensuring a deep and practical understanding of Snowflake. π€
What You Will Learn:
In this course, we'll cover an extensive range of topics including but not limited to:
Snowflake:
- Snowsight Tour: Navigate the Snowflake user interface with ease.
- Snowflake SQL: Master the core language used in Snowflake for data manipulation and querying.
- Snowflake Scripting: Automate tasks using Snowflake's powerful scripting capabilities.
- Stored Procedures using SQL and Python: Create reusable code blocks to encapsulate complex logic.
- Error Handling: Learn how to manage and respond to errors within your Snowflake environment.
- Data Recovery: Understand the mechanisms in place for recovering data in Snowflake.
- Time Travel: Explore the unique time travel feature of Snowflake to query historical data.
- Zero-copy Cloning: Master cloning tables without copying any data.
- Snowflake Architecture: Gain insights into how Snowflake is designed and how it can benefit your workflow.
- Streams: Understand the concept of change data capture in Snowflake with streams.
- Tasks: Learn to schedule, run, and manage tasks within Snowflake.
- DAG of Tasks: Organize your workflows using directed acyclic graphs (DAG).
- Access Control: Secure your data by managing access control and permissions.
- Manage Custom Roles and Users: Customize user roles to fit your organization's needs.
- Secure Data Sharing: Share data securely with external parties.
- Storage Integrations: Connect Snowflake with various storage solutions.
- IAM Roles and Users to Connect to AWS: Integrate Snowflake with AWS services for a seamless experience.
- Stage Types: Understand the different types of stages in Snowflake, including internal and external stages.
- Load during Transformations: Efficiently load data into Snowflake while applying transformations.
- Table Functions: Leverage table functions for complex data manipulation tasks.
- Context Functions: Utilize context functions to enrich your queries with additional information.
SQL:
- DDL Statements in Snowflake: Manage database objects using Data Definition Language (DDL).
- Data Types in Snowflake: Understand the various data types available and how to use them effectively.
- Referential Integrity Enforcement: Ensure data integrity with proper referential constraints.
- Scalar Functions: Work with string, temporal, and numeric data types using common scalar functions.
- Window Functions: Perform calculations across sets of rows.
- Common Table Expressions (CTEs): Use CTEs for complex queries that need to be broken down into more manageable parts.
- Aggregations: Summarize your data with aggregation functions.
- Joins: Combine tables based on related columns.
- Set Operators: Perform set-based operations to compare and combine datasets.
- Pivot and Unpivot: Transpose and untranspose datasets for versatile analysis.
Join us on this journey to master Snowflake and SQL, and take your data handling skills to the next level! ππ
Enroll now and transform your approach to data management and analytics with Snowflake Essentials - A Comprehensive Masterclass 2024. Let's turn data into insights together! π»β¨
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