Certified Snowflake Data Engineer
Master the art of data engineering with our Certified Snowflake Data Engineer course. Dive deep into the intricacies of Snowflake's architecture under expert guidance. Our comprehensive program equips you with essential skills in data management and optimization tailored specifically for this cutting-edge platform. Enroll now to transform your career with unparalleled expertise in Snowflake technology.
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Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
What you'll learn
- Gain proficiency in navigating Snowsight and managing queries effectively.
- Understand the fundamentals of the Snowflake Data Cloud and its architecture.
- Learn various connection options to integrate with Snowflake seamlessly.
- Prepare thoroughly for the SnowPro Core certification exam.
- Develop skills in querying data using SQL within the Snowflake environment.
- Optimize virtual warehouse performance through scaling and tuning techniques.
- Implement best practices for secure data management including access control.
Why should you attend?
This course provides an in-depth exploration of Snowflake, a leading data cloud platform that offers unique capabilities for managing and analyzing data. Participants will begin with an introduction to the Snowflake Data Cloud, understanding its key differentiators and multi-cluster architecture. This foundational knowledge sets the stage for more advanced topics such as Snowflake's compute, storage, and cloud services layers. Learners will gain hands-on experience navigating Snowsight, Snowflake's user interface, and learn how to manage query history and results effectively. The course also covers critical aspects of connecting to Snowflake using various methods like JDBC, ODBC, and SnowSQL, offering insights into both web interfaces and command-line interactions. As participants progress, they will delve into querying within Snowflake using SQL, optimizing virtual warehouses for performance, and mastering data loading techniques from diverse sources. The curriculum emphasizes best practices in data transformation, continuous loading with Snowpipe, and leveraging caching mechanisms to enhance query performance. Security is a paramount concern addressed through modules on authentication mechanisms, encryption, access control, and role management. Additionally, learners will explore advanced features such as Time Travel for data protection, replication strategies for failover scenarios, and cost management techniques to optimize resource usage. The course culminates in certification preparation sessions designed to reinforce core concepts and SQL skills necessary for the SnowPro Core exam. With practice exams included, participants are well-equipped to tackle real-world challenges in Snowflake environments.
Course Syllabus
Day 1 - Snowflake Fundamentals & Architecture
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Loading & Transformation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Security & Data Protection
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Optimization & Certification Prep
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
FAQs
Courses you may like
Why should you attend?
This course provides an in-depth exploration of Snowflake, a leading data cloud platform that offers unique capabilities for managing and analyzing data. Participants will begin with an introduction to the Snowflake Data Cloud, understanding its key differentiators and multi-cluster architecture. This foundational knowledge sets the stage for more advanced topics such as Snowflake's compute, storage, and cloud services layers. Learners will gain hands-on experience navigating Snowsight, Snowflake's user interface, and learn how to manage query history and results effectively. The course also covers critical aspects of connecting to Snowflake using various methods like JDBC, ODBC, and SnowSQL, offering insights into both web interfaces and command-line interactions. As participants progress, they will delve into querying within Snowflake using SQL, optimizing virtual warehouses for performance, and mastering data loading techniques from diverse sources. The curriculum emphasizes best practices in data transformation, continuous loading with Snowpipe, and leveraging caching mechanisms to enhance query performance. Security is a paramount concern addressed through modules on authentication mechanisms, encryption, access control, and role management. Additionally, learners will explore advanced features such as Time Travel for data protection, replication strategies for failover scenarios, and cost management techniques to optimize resource usage. The course culminates in certification preparation sessions designed to reinforce core concepts and SQL skills necessary for the SnowPro Core exam. With practice exams included, participants are well-equipped to tackle real-world challenges in Snowflake environments.
What you'll learn
- Gain proficiency in navigating Snowsight and managing queries effectively.
- Understand the fundamentals of the Snowflake Data Cloud and its architecture.
- Learn various connection options to integrate with Snowflake seamlessly.
- Prepare thoroughly for the SnowPro Core certification exam.
- Develop skills in querying data using SQL within the Snowflake environment.
- Optimize virtual warehouse performance through scaling and tuning techniques.
- Implement best practices for secure data management including access control.
Course Syllabus
Day 1 - Snowflake Fundamentals & Architecture
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Loading & Transformation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Security & Data Protection
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Optimization & Certification Prep
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
FAQs
Courses you may like
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