"Snowflake - SnowPro Core Certification Preparation" is a comprehensive course meticulously crafted to guide learners through the essentials of Snowflake, preparing them for the SnowPro Core Certification. Spanning three modules, the course begins with the fundamentals of Snowflake, exploring its architecture, data loading, and modeling. The second module delves into operational and management aspects, including account management, performance optimization, and security. The final module focuses on advanced features and analytics, integrations, and provides insights into best practices and real-world case studies. It also includes a detailed overview of the SnowPro Core Certification exam, with study tips and strategies. This course is tailored for data professionals seeking an in-depth understanding of Snowflake and aiming to achieve the SnowPro Core Certification.
Snowflake - SnowPro Core Certification Preparation
Instructor: Board Infinity
2,814 already enrolled
Included with
Recommended experience
What you'll learn
Understand Snowflake’s architecture, data management, and modeling techniques.
Effectively manage and optimize Snowflake environments.
Utilize advanced features and analytics in Snowflake for complex data operations.
Prepare thoroughly for the SnowPro Core Certification with an understanding of exam format and key topics.
Skills you'll gain
Details to know
Add to your LinkedIn profile
13 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
Module 1: Snowflake Fundamentals provides a thorough introduction to Snowflake, a cloud-based data warehousing solution renowned for its unique architecture and capabilities. This module covers the basics of Snowflake, including its architecture, key features, and various editions available across cloud platforms. It also offers an overview of the Snowflake user interface. You'll learn about data loading and unloading methods, best practices, and data transformation techniques. Furthermore, the module delves into data modeling in Snowflake, exploring storage, clustering, schema implementation, and data warehousing concepts. This module is essential for those looking to understand and utilize Snowflake for efficient data management and analytics.
What's included
17 videos5 readings4 assignments1 discussion prompt
"Module 2: Snowflake Operations and Management" advances into more intricate aspects of managing and optimizing Snowflake environments. This module begins by exploring account management, including user roles, security, resource monitoring, and cost management for storage and compute resources. It then shifts focus to performance optimization, covering query performance analysis, optimization strategies, caching, materialized views, and tuning techniques. Additionally, the module thoroughly addresses Snowflake's security and compliance features, including data encryption, masking, governance, auditing, and monitoring. This module is vital for users seeking to effectively manage, optimize, and secure their Snowflake environments.
What's included
14 videos3 readings4 assignments
"Module 3: Advanced Features and Analytics in Snowflake" dives deep into the sophisticated aspects of SQL and analytics within Snowflake. This module explores advanced SQL functions, analytic and window functions, and the unique features of time travel and zero-copy cloning. It also covers working with semi-structured data like JSON and XML. Additionally, the module examines Snowflake's integration capabilities with BI tools, data integration tools, and API integration for custom applications. Furthermore, it includes best practices, common challenges, real-world case studies, and preparation for the SnowPro Core Certification, making it invaluable for those aiming for advanced proficiency and certification in Snowflake.
What's included
18 videos5 readings5 assignments
Instructor
Offered by
Recommended if you're interested in Data Analysis
Why people choose Coursera for their career
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.