Data Engineering
Get Job-Ready with Snowflake in 45 Days
Architecture, loading, sharing and performance: everything you need to run a real Snowflake warehouse, not just query one.
Architecture, loading, sharing and performance: everything you need to run a real Snowflake warehouse, not just query one.
Part of Data Engineering: The Complete, Job-Ready Program
Taught by Sharuk Shaik
Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained
- Lessons
- 16
- Length
- 5h 18m
- Live classes
- 2
- Level
- Intermediate
₹7,999
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- 16 recorded lessons, yours for the life of the enrollment
- 2 live classes with your instructor
- 2 downloadable resources
- Verifiable certificate on completion
What you will be able to do
- Explain Snowflake's architecture well enough to make real design decisions with it
- Load data reliably using COPY INTO, stages and Snowpipe
- Automate transformation with Streams and Tasks
- Diagnose and fix a warehouse that is slow or unexpectedly expensive
About this course
Most Snowflake content teaches you to write a SELECT statement against a warehouse someone else built and tuned. This course teaches you to be the person who builds and tunes it.
We start with why Snowflake's architecture — storage separated from compute — changes how you design everything else, then move through loading data, streams and tasks for automation, secure data sharing, and finish with the performance and cost questions that come up in every real deployment: warehouse sizing, clustering, and why the bill looked like that this month.
Who it is for
- Data engineers who need to own a Snowflake environment, not just query it
- Analysts moving into a warehouse-ownership role
- Teams migrating from another warehouse onto Snowflake
What you need
- Comfort with SQL (the SQL for Data Engineering course, or equivalent)
- A Snowflake trial account (free to create, covered in Module 1)
Curriculum
4 modules · 16 lessons · 5h 18m
Lessons marked Preview are free to watch.
- Why Snowflake separates storage from compute Preview 18m
- Databases, schemas and the account hierarchy 15m
- Setting up your first virtual warehouse Preview 17m
- Roles and access control basics 20m
- Loading data with COPY INTO 24m
- Stages: internal vs external 19m
- Semi-structured data: querying JSON natively 23m
- Continuous loading with Snowpipe 21m
- Change data capture with Streams 22m
- Automating pipelines with Tasks 20m
- Secure data sharing without copying data 18m
- When to share data vs export it 9m
- Warehouse sizing and auto-suspend economics 20m
- Query profiling and optimisation 25m
- Clustering keys for large tables 19m
- Real-world project: a sales reporting warehouse 28m
Your instructor
Sharuk Shaik
Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained
Sharukh Sir is a seasoned data engineering professional with over a decade of experience building and managing enterprise data platforms across multiple industries including banking, insurance, retail, and healthcare.
Having worked with organizations ranging from fast-growing startups to Fortune 500 companies, he brings a unique perspective that blends deep technical knowledge with practical business understanding.
His teaching philosophy is simple: theory without practice is incomplete. Every concept is taught with real-world context, every module ends with hands-on exercises, and every student graduates with production-grade project experience.
His mission is to make every student industry-ready from day one — not just in tools and technology, but in mindset, problem-solving, and professional communication.
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Get Job-Ready with Snowflake in 45 Days
16 lessons, 5h 18m of instruction , plus 2 live sessions.
₹7,999
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