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.
Introduction to Data Warehousing & Snowflake Fundamentals of Data Warehousing (OLTP vs OLAP) Cloud Data Warehousing overview Snowflake architecture & components Snowflake Editions & Use Cases.
Getting Started with Snowflake Setting up Snowflake account & interface overview Databases, Schemas, Tables, and Views Loading sample data Snowflake roles and access control basics.
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.
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.
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.
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.
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.
Advanced Snowflake Features Time Travel and Zero-Copy Cloning Materialized views & tasks External tables & data sharing Snowpark: Python, Java, and Scala integration.
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.
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
You cannot copy content of this page