Welcome to this comprehensive guide on the best online courses available for Snowflake, a cloud-based data warehousing platform. As data continues to play a critical role in decision making for businesses, the demand for highly skilled Snowflake professionals has increased significantly. These courses cover a range of topics from Snowflake basics to advanced concepts such as data integration, data loading, and querying. By the end of this guide, you will have a clear understanding of the top online courses available to help you master Snowflake and advance your career in data warehousing.
Here’s a look at the Best Snowflake Courses and Certifications Online and what they have to offer for you!
Snowflake Decoded – Fundamentals And Hands On Training Online Course
- Snowflake Decoded – Fundamentals And Hands On Training Online Course
- 1. Snowflake Decoded – Fundamentals and hands on Training by Hamid Qureshi (Udemy) (Our Best Pick)
- 2. Snowflake – The Complete Masterclass (2022 Edition) by Nikolai Schuler (Udemy)
- 3. Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual) by Kashish Gakkar (Udemy)
- 4. Snowflake Masterclass[stored proc+demos+Best practices+Labs] by Pradeep H C (Udemy)
- 5. Tackling Snowflake Certification – Practice Questions by Hamid Qureshi (Udemy)
- 6. Snowflake for Developers by Ashish Khaitan (Udemy)
- 7. Snowflake Certification Preparation by Joyee D (Udemy)
- 8. Snowflake Database – The Complete Cloud Data Platform by Randy Minder (Udemy)
- 9. Snowflake Cloud Data Warehousing-Basics to Advanced concepts by Kullayappa Munagamani (Udemy)
- 10. Snowflake Concepts & Fundamentals with Full Mock test by Nishant Jain (Udemy)
The Snowflake Decoded course, taught by Hamid Qureshi, offers fundamental Snowflake concepts and hands-on experience to aid in the implementation of Snowflake-based solutions. This course is not affiliated with Snowflake, the company. Students will reinforce their learning through hands-on labs, assignments, and quizzes.The course covers various topics, including an introduction to Snowflake’s history and differentiation, getting started with Snowflake by signing up for a trial and creating and loading the first table, exploring Snowflake’s architecture, and comparing it to traditional database architectures. Additionally, students will learn about Snowflake’s virtual warehouses and how they allow for scaling up and down of compute as per demand.The course also covers getting data into Snowflake, exploring ingestion or loading methods, such as bulk copy and snowpipe, and staging data in an S3 bucket. Students will also learn about loading semi-structured data like JSON into Snowflake. Moreover, the course covers time travel and zero copy clones, which are powerful features unique to Snowflake. Students will explore how time travel can help recover data before a query was run or before a specific time. Combining time travel with cloning allows creating new tables containing data back in time without incurring additional storage costs.Another topic covered is secure data sharing. Snowflake-based solutions can easily share data with other Snowflake users as well as non-Snowflake users. Students will explore ways to share data and how sharing reuses existing storage. The course also covers Snowflake access management.The course concludes with a mega quiz to reinforce the learning.
The Snowflake – The Complete Masterclass (2022 Edition) course is designed to help individuals upgrade their skills in working with Snowflake and cloud data warehousing. The course promises to teach students everything that is important in Snowflake, step by step, and in a practice-oriented manner. It covers both fundamental and advanced topics, and it offers personal support to students whenever they have questions.
The course is ideal for individuals who have never worked with Snowflake before or those who already have basic knowledge and want to become more advanced in the technology. The course offers lifetime access to course materials and personal support.
The content of the course includes an introduction, getting started, Snowflake architecture, loading data, copy options, loading unstructured data, performance optimization, loading from AWS, Azure, and GCP, Snowpipe, Time Travel, Fail Safe, types of tables, zero-copy cloning, data sharing, data sampling, scheduling tasks, streams, materialized views, dynamic data masking, access management, visualization, partner connect, and best practices.
This course promises to offer clear explanations and systematic teaching that combines theory and practice. It also provides opportunities for students to practice and test their knowledge through quizzes and assignments.
The Snowflake Zero to Hero Masterclass is a course designed to provide comprehensive information on Snowflake Data Warehouse core concepts, APIs, connectors, and SQL. This course was launched in September 2020 and has the highest number of content hours to cover each aspect related to Snowflake. In a few days, it became a Best Seller course by Udemy due to its course content, students feedback, engagement, prompt responses by the instructor on QnA, and proportion of new enrollments compared to other courses.
This course is specially designed for people of all professions, including Data Analysts, Data Scientists, Data Engineers, Programmers, BI Experts, or students looking to learn Snowflake. The course covers Snowflake Core concepts, advanced concepts like Time Travel, Fail Safe, Zero-Copy Cloning, Data Sharing, Query History, Resource Monitors, Caching, and Micro-Partitioning. It also covers working with Snowflake APIs using Python, using Tableau and PowerBI for Visualizations, and Snowflake SQL from Beginner to Expert Level.
Snowflake is a popular cloud Data Warehouse that solves most scalability, maintenance, and downtime issues. It is being adopted by many companies as their Data Warehouse due to its architecture, elasticity, and cost savings. This course provides a downloadable one-stop-shop for all the resources used in the Masterclass to make learning more accessible.
By the end of the course, students will be able to work as a Snowflake Expert. The instructor, Kashish Gakkar, is a Senior Data Engineer with more than 7 years of experience and expertise in various skills and technologies related to ETL, Data Warehousing, Data Science/Analytics, Business Intelligence, Big Data, Cloud Technologies, and Programming Expertise.
The Snowflake Masterclass course is designed for those who want to build workflows using Airflow, Talend and Snowflake. It is taught by Pradeep H C, a real time expert with over 4 years of experience working with Snowflake. This course provides hands-on exercises and covers the fundamentals of Snowflake’s architecture, caching, micro-partitions, clusters, virtual warehouse creation, performance tuning, data loading, unloading, and exporting, as well as important features of Snowflake such as Snowpipe, data sharing, time travel, fail safe, and clone. The course includes sections on materialized views, data masking, row access policy, stored procedures, access control, best practices, and a bonus section.
The course is divided into 3 modules with a total of 129 lectures, 77 demos, 27 assignments, and 11 quizzes. Module 1 focuses on snowflake fundamental concepts and architecture, including snowflake environment setup, caching, clustering, virtual warehouse creation, performance tuning, and snowsight and warehouse dashboard. Module 2 covers different techniques and options to load and unload data in snowflake, including loading data using internal stage, from AWS S3, Google GCS, and Azure, as well as working with the copy command and loading unstructured data. Module 3 closely evaluates important features of snowflake and helps students understand how each feature works under the hood, including snowpipe, data sharing, time travel, fail safe, clone, data sampling, tasks, streaming, continuous data load, materialized views, data masking, row access policy, stored procedures, and access control.
The latest update includes a new section on row access policy in Snowflake. Students are warned that costly queries and wrong design decisions can skyrocket their Snowflake bill. The course is an effort to walk students through the instructor’s experiences to ensure they don’t end up making the same mistakes.
Course Title: Tackling Snowflake Certification – Practice Questions
Course Instructors: Hamid Qureshi
Course Short Description:
This course offers mock questions to help students prepare for the Snowflake Certification exam.
Course Long Description:
This course is designed to provide students with practice questions that can help them prepare for the Snowflake – SnowPro Core Certification. It is important to note that the questions in this course are intended only to test your knowledge of the topics, and are not based on actual exam questions.
These practice questions may be helpful in preparing for the exam, but do not guarantee exam success. Students are encouraged to attend other trainings and to build hands-on experience with Snowflake before attempting the certification exam.
Course Content and Sections:
This course consists entirely of practice tests.
The Snowflake for Developers course is designed to provide a comprehensive understanding of Snowflake’s Cloud Data Warehouse. Unlike traditional scripted courses, this course is immersive and engaging, with a mix of successes and failures that lead to aha moments. It is recommended to preview the Introduction to Data Warehouse lecture completely to understand the course’s flow.
The course begins with an overview of data warehousing concepts before diving into Snowflake. While not specifically designed for any certification exam preparation, this course is aimed at engineers and architects looking to implement Snowflake in their day-to-day activities.
The course is divided into five sections: Getting Started, Snowflake Architecture, Working with Snowflake – I, Working with Snowflake – II, and Snowflake Features.
The Snowflake Certification Preparation Course is designed to help individuals prepare for the SnowPro Core Certification. The course includes practice tests that are modeled to test knowledge on published concepts and topics. The tests are not a replacement for studying the Snowflake documentation, as a thorough understanding of the technology product is necessary to excel in the field.
Individuals should complete the snowflake documentation before attempting the practice tests to determine their level of preparedness for the certification exam. The tests provide an opportunity to identify weak areas and review the material accordingly. It is important to note that simply memorizing the questions in the practice tests does not guarantee a passing mark on the certification exam.
Explanations are provided for questions where relevant, helping individuals to understand the underlying concepts and principles. The course instructor, Joyee D, welcomes feedback from participants to improve the effectiveness of the course. It is important to note that the practice tests are not from the actual certification exam and any similarity is coincidental.
The Snowflake Certification Preparation Course is a useful tool for individuals looking to prepare for the SnowPro Core Certification. By completing the practice tests, individuals can gauge their level of preparedness and identify areas for improvement. However, a thorough understanding of the technology product through studying the documentation and applying the concepts is necessary to excel in the field.
The Snowflake Database – The Complete Cloud Data Platform Course is a comprehensive course designed to prepare developers and administrators for the Snowflake Certification exam. The course is almost nine hours long and includes a sample exam. Snowflake is a cloud data platform that offers faster, more flexible, and easier to use data storage, processing, and analytic solutions than traditional offerings. Throughout the course, learners will gain a solid understanding of the Snowflake environment, become equipped to administer their own Snowflake environment, and be prepared for the Snowflake Certification exam.
One of the major benefits of Snowflake is that it is a true SaaS offering. There is no hardware or software to install, configure, or manage. Maintenance, management, upgrades, and tuning are all handled by Snowflake. Additionally, Snowflake runs completely on cloud infrastructure, with all components of its service (other than optional command line clients, drivers, and connectors) running on public cloud infrastructures. This course covers all important aspects of Snowflake, including separation of compute and storage, virtual warehouses, scaling, zero-copy cloning, data sharing, Snowflake credits and billing, performance tips, clustering keys, and data loading and unloading.
The course is broken down into several sections, including an introduction, the Web UI, virtual warehouses, storage and data, data loading, streams and tasks, security, performance monitoring and tuning, semi-structured data, miscellaneous topics, best practices, labs, and a test your knowledge section. The goal of the course is to provide learners with a solid understanding of Snowflake and prepare them for the Snowflake Certification exam by providing a set of 250 practice questions and scenarios. The instructor of the course, Randy Minder, recently passed the Snowflake Core Certification exam with a score of 90%, and found that the questions included in the course were invaluable as a study guide.
This course, titled Snowflake Cloud Data Warehousing-Basics to Advanced concepts, is aimed at providing learners with an understanding of cloud technologies and their advantages over traditional and on-premises data warehousing. The course covers basic and advanced concepts of Snowflake, including loading and unloading data from/to a Snowflake account, creating Snowflake tasks for scheduling stored procedures or data loading activities, and continuous data loading using Snowpipe. The course curriculum includes an introduction to Snowflake, creating a Snowflake account, and connecting to it. The architecture of Snowflake is explained in detail, along with various ways to connect to a Snowflake account. Loading and unloading data in Snowflake, including semi-structured data and querying, is also covered. Continuous data loading via Snowpipe and scheduling in Snowflake using the Tasks concept are discussed. The course also covers Time Travel and Failsafe in Snowflake, Snowflake and Spark Integration, Data Sharing in Snowflake, and Resource Monitoring in Snowflake. Lastly, the course provides notes to attempt Snowpro certification. Overall, this course is ideal for those wishing to learn Snowflake and improve their data warehousing skills in the cloud.
The Snowflake Concepts & Fundamentals course offers a quick and comprehensive way to learn and practice Snowflake concepts with hands-on labs and a complete mock test containing 100 questions. The course is designed for busy individuals who want to understand the Snowflake concepts and architecture, regardless of prior knowledge.
The course emphasizes hands-on activities to ensure the concepts are well understood and embedded into the participants’ thoughts, rather than just theoretical knowledge. The course content is divided into seven sections: Introduction, Snowflake Architecture and Concept, Getting Started with Hands-on Labs, Data Ingestion into Snowflake, Snowflake Architecture Deep Dive, Snowflake Data Share, and Snowflake Admin and Summary.
The course includes a full practice test that simulates the Snowpro core certification exam, which is comprised of 100 questions. The course instructors are Nishant Jain, who has extensive experience in cloud computing and data warehousing, among other areas. Overall, this course offers an effective way to learn and practice Snowflake concepts for individuals with busy schedules and no prior knowledge.