Snowflake Data Warehouse & Cloud Analytics course covers advanced Data Movement, Performance, Security, Agile Development and Data Sharing design considerations and best practices in the Snowflake Cloud Data Platform. It enables you to build data-intensive applications without operational burden. Trusted by fast growing software companies, Snowflake handles all the infrastructure complexity, so you can focus on innovating your own application.
The data engineer’s role is changing quickly. As new tools and self-service data pipelines eliminate traditional tasks such as manually writing ETL code and cleaning data, companies are asking data engineers to provide guidance on data strategy and pipeline optimization.
Course shall be interactive with lecture, demos, and labs.
Big Data & Hadoop Spark Consultant and also a mentor & Corporate trainer in Information Technology for more then sixteen years. Have been training people across the world in ETL, OLAP and Big data applications.Currently leading the team of engineers in web development, IOT,Machine learning and Data Science as Chief at Dataz , Chennai.
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"The course provided a good overview of the topic. It'd be beneficial to have additional resources for further practice and exploration."
"More real-life case studies or examples would have made it even better for beginners like me."
"This course was my first exposure to this field, and it was presented in a way that made me want to explore further. It's a great starting point!"
"I appreciated the practical examples used throughout the course. Even though I faced language barriers at times, the visuals were a great help."
"It provided a decent foundation for beginners."
"It made a complex subject simple to understand."
"The content was comprehensive, and the step-by-step approach helped me understand the basics."
"I found the course quite informative. Though I struggled with some technical terms."
"Great course! Now I feel confident to explore more."