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Learn how a F500 Pharma company reduced 30% of its data warehousing cost by implementing Databricks SQL
The Challenge
Managing the same datasets across Delta Lake and the data warehouse significantly increased operational costs. SQL queries executed on Redshift took considerably longer, adversely impacting Tableau dashboard refresh times and delaying insights. Fragmented systems and inefficiencies in ETL processes made accessing data from multiple sources challenging, limiting real-time analytics and decision-making.
Our Solution
To address the client's challenges, we implemented Databricks SQL Analytics, leveraging Spark features and the Photon Engine for faster query execution and seamless analytics.
Enhanced Tableau Integration
Migrated 300+ Tableau dashboards from Redshift to Databricks SQL, eliminating redundancy and enabling real-time data access.
Centralized Data Access
Removed the need to maintain duplicate datasets across Delta Lake and the warehouse, significantly reducing costs.
Optimized Dashboard Migration
Achieved seamless migration with improved query performance, ensuring instant insights and faster decision-making.
The Outcomes
30% Faster Dashboard Refresh Times
Tableau dashboard refresh times significantly improved, enabling quicker access to critical insights.
100% Savings on Data Loading Costs
The advanced analytics capabilities of Databricks SQL eliminated data loading expenses entirely, driving operational efficiency.
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