With its high scalability, performance, and pay-per-use pricing, Snowflake is a cloud-based data warehouse platform that helps businesses efficiently store, process, and analyze massive amounts of structured and semi-structured data.
Level
Intermediate
Duration
8 Weeks



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A cloud-native data warehousing and analytics platform, Snowflake is made to process large amounts of data quickly, easily, and scalable. Because Snowflake is based on a multi-cluster, shared-data architecture that divides storage, compute, and services, it differs from traditional data warehouses in that it enables enterprises to scale resources independently in response to workload demands.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Snowflake
An overview of Snowflake's benefits over conventional warehouses as a cloud-based data warehouse.
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Real-Time Sales Analytics Dashboard
Integrate Snowflake with an e-commerce platform and a business intelligence tool such as Tableau or Power BI to create a real-time analytics dashboard.
Customer 360 Data Platform
Integrate customer data from various sources, such as CRM, ERP, and marketing tools, to create a Customer 360° unified data platform in Snowflake.
IoT Sensor Data Processing and Analytics
Use Snowflake to process, store, and analyze data from connected devices and sensors as part of a real-time IoT analytics pipeline.

What is Snowflake?

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