Mr. Priyam Ganguly

Maximizing Data Value:Seamless Integration of Snowflake and Tableau for Modern Analytics

Abstract

In the data-centric landscape of modern organizations, there exists a pivotal challenge in managing and extracting value from ever-growing data volumes. This presentation assesses the transformative potential of integrating a cloud-native data warehouse such as Snowflake with a premier business intelligence platform like Tableau to create a streamlined ecosystem for data analytics. With elastic compute and storage capabilities that support scalable ETL pipelines, Snowflake provides a solid underpinning for the comprehensive transformation of raw, unstructured data into analysis-ready datasets. Completing this are dynamic visualizations in Tableau, allowing the translation of complex datasets into actionable insights - driving data-driven decision-making at all levels. This session lays out a complete roadmap to this powerful integration: Data Ingestion: Establishing Efficient Pipelines to Get Raw Data into Snowflake. ETL Design: Scaly workflows that scale and reduce the cost to prepare any datasets for analysis. Building dashboards using Tableau: Using Tableau's user interface to power actionable dashboards Upon completion, participants will understand how to optimize query performance, minimize data processing costs, and ensure the design of intuitive, stakeholder-focused dashboards. Sales and operational efficiency improvements are just two examples of real-world applications for generating tangible value added in any business from this synergistic integration.