Description:
This 5-day training equips participants with the knowledge and hands-on skills to use Snowflake, a powerful cloud-native data warehouse built for modern analytics and multi-cloud environments. Beginning with an architectural overview, the course introduces Snowflake’s elastic scalability, separation of storage and compute, and security model that make it unique compared to traditional data warehouses.
Participants will learn to set up environments, load structured and semi-structured data, and perform complex SQL operations. Labs guide learners through Snowpipe for real-time ingestion, Streams and Tasks for pipeline automation, and handling formats like JSON, Parquet, and XML. The program also covers performance tuning techniques, caching strategies, clustering, and micro-partitioning for cost optimization and query acceleration
Beyond core SQL and optimization, the training explores Snowflake’s advanced features, including time travel, zero-copy cloning, fail-safe recovery, and secure data sharing. Participants will also gain exposure to Snowflake’s integration with AWS, GCP, and Azure, as well as connections to BI and ETL tools like Power BI, Python, and Kafka.
By the end of this course, participants will be able to design, implement, and manage enterprise-scale Snowflake deployments, ensure governance and security, and apply best practices for optimizing cost and performance. The program also prepares learners for Snowflake certification pathways and real-world analytics projects.
Duration:Â 5 Days
Course Code:Â BDT 519
Learning Objectives:
After this training, participants will be able to:
- Implement AWS security services (IAM, KMS, CloudTrail)
- Design secure architectures across AWS services
- Apply encryption, monitoring, and governance best practices
- Respond to incidents and manage compliance requirements
