Citation :

Ankit Bansal, 2024. "From Raw Data to Visual Insights: Mastering Data Modelling Techniques Using Snowflake SQL and Task Automation" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 4: 1-11.

Abstract :

In the modern data-driven world, an enterprise needs to turn raw data into actionable insights for success. This paper serves as a guide on mastering data modeling techniques through Snowflake SQL, one of the most reputed cloud data platforms. Its focus is on preparing, transforming, and modeling data to enable advanced analytics and aid business decision-making. The importance of task automation in this regard is also touched upon demonstrating how Snowflake’s task automation capabilities streamline the workflows, thereby improving operational efficiency. Through such integration of SQL query optimization and automation techniques, this paper trains the readers on how to create scalable and efficient data models that shape visual insights and enhance the business intelligently.

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Keywords :

Data Modeling, Snowflake SQL, Task Automation, ETL, Data Pipelines, Data Transformation, Visual Insights.