The Data Warehousing with Snowflake is designed to equip learners with in-demand skills in modern cloud data management and analytics. Snowflake, a leading cloud-based data warehousing platform, enables seamless data storage, integration, and real-time processing at scale. This course covers the fundamentals of data warehousing concepts, Snowflake architecture, query optimization, data sharing, security, and advanced analytics. With hands-on projects and practical case studies, learners gain the expertise to build scalable data pipelines, manage structured and semi-structured data, and optimize performance for business intelligence applications. By the end of the program, participants will be industry-ready to work as Data Engineers, Cloud Data Specialists, or Snowflake Developers in top organizations.
Module 1: Introduction to Data Warehousing & Snowflake Fundamentals of Data Warehousing (OLTP vs OLAP) Cloud Data Warehousing overview Snowflake architecture & components Snowflake Editions & Use Cases.
Module 2: Getting Started with Snowflake Setting up Snowflake account & interface overview Databases, Schemas, Tables, and Views Loading sample data Snowflake roles and access control basics.
Module 3: Snowflake SQL Essentials Querying tables with SELECT, JOIN, and FILTER Aggregations, subqueries, and window functions Advanced SQL constructs in Snowflake Using sequences, stored procedures, and UDFs.
Module 4: Data Modeling & Schema Design Star schema, Snowflake schema, and Fact-Dimension modeling Designing scalable and optimized data models Data normalization vs denormalization strategies Best practices for Snowflake data architecture.
Module 5: ETL/ELT & Data Integration Data loading methods: Bulk Load, Snowpipe, and Streams ELT workflows using dbt, Talend, and Matillion Transforming structured & semi-structured data (JSON, Avro, Parquet) Automating pipelines and workflow orchestration with Airflow.
Module 6: Performance Optimization & Query Tuning Micro-partitioning, clustering keys, and caching strategies Warehouse sizing & scaling (virtual warehouses) Query profiling and optimization techniques Cost management & resource monitors.
Module 7: Security & Governance Role-Based Access Control (RBAC) Data masking, encryption, and compliance management Auditing, monitoring, and logging in Snowflake Secure data sharing and Snowflake Marketplace.
Module 8: Advanced Snowflake Features Time Travel and Zero-Copy Cloning Materialized views & tasks External tables & data sharing Snowpark: Python, Java, and Scala integration.
Module 9: Analytics, BI & Machine Learning Integration Connecting Snowflake with Tableau, Power BI, and Looker Advanced analytics with Python and R Preparing Snowflake data for machine learning workflows Real-time analytics using Snowpipe and streaming data.
Module 10: Industry Projects & Case Studies Building a complete enterprise-level Snowflake Data Warehouse ETL project with structured & semi-structured data Business intelligence dashboards using Snowflake data Capstone project: Cloud-based data solution for real-world scenarios.
Mobile: 9100348679
Email: coursedivine@gmail.com
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