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Course Overview

This course provides a comprehensive understanding of modern cloud-based data warehousing using Snowflake and Google BigQuery. Gain hands-on experience in designing scalable data models, ingesting data from cloud sources, writing efficient SQL queries, and optimizing performance for analytics workloads.

Learn to leverage the unique features of Snowflake like Time Travel, Cloning, and Virtual Warehouses, and master BigQuery's serverless architecture for real-time data processing. This course is ideal for data professionals looking to enhance their skills in cloud data warehousing.

By the end of this course, you will be able to design and implement robust data warehousing solutions that can handle large-scale data analytics efficiently.

Mode: Online/Offline
Prerequisites: Basic knowledge of SQL and Python is recommended.

Certification: Participants will receive a certificate upon successful completion of the course.

Cloud Data Warehouse

Who Should Join?

Key Skills Covered

  • Cloud Data Warehouse Architecture (Snowflake, BigQuery)
  • Data Modeling & Schema Design (Star, Snowflake Schema)
  • ETL & ELT Pipeline Design with Python, SQL & Tools
  • Loading Data from AWS S3, GCS, APIs & Flat Files
  • BigQuery SQL and Snowflake Standard SQL
  • Snowflake Time Travel, Cloning & Virtual Warehouses
  • Performance Optimization: Partitioning & Clustering
  • Integration with Tableau, Power BI & Looker
Online Classroom

Why Choose Ni Analytics?

Our Hiring Partners

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Join Data Warehousing with Snowflake & BigQuery