Enhancing Storage Management and Query Performance through Strategic Databricks Optimization

A leading manufacturer of windows and doors relies on data-driven decision-making to enhance operations, improve efficiency and drive business growth. To scale its capabilities, the company migrated its data infrastructure to Databricks. As data usage expanded, it became essential for optimizing performance, reducing operational costs and improving efficiency. To achieve these goals, they partnered with Systech to refine their Databricks environment, to streamline data processes and to ensure long-term cost-effectiveness.

Business Needs

As the company evolved, it analyzed and found that several challenges were impacting the data ecosystem:

• High Operational Costs – Databricks expenses exceeded expectations, particularly in storage and cluster usage.
• Performance Bottlenecks – Slow query execution and inefficient data pipelines affected reporting and analytics.
• Storage Optimization – Heavy reliance on external tables contributed to higher costs and performance degradation.

Systech delivery

Systech conducted a structured optimization process, focusing on:

• Storage Optimization: Migrated external tables to managed tables, reducing storage costs and enhancing query performance.
• Performance Tuning: Implemented liquid clustering to improve query execution and optimize data processing workflows.
• Data Pipeline Efficiency: Streamlined data movement and optimized workflows for enhanced processing speed.
• Cost Analysis: Integrated Azure Cost Management API for real-time cost tracking and implemented cost-saving measures.

Challenges

1. Managing Cloud Costs Effectively
   • Tracking cloud expenses in real time was difficult, leading to potential overspending.
   • Integrated Azure Cost Management API to monitor Virtual Machines, Disks and Virtual Networks to improve budget control and cost efficiency.
2. Optimizing Data Storage for Streaming
   • Migrating streaming data from external tables while ensuring data accessibility and efficiency.
   • Transitioned key workloads to managed tables, enhancing data accessibility, query performance, and storage efficiency.

Solution Process

1. System Analysis & Assessment:
   • Evaluated Databricks architecture, cluster configurations, storage structures and data workflows.
   • Identified cost inefficiencies and integrated Databricks with Azure for enhanced cost visibility.
2. Performance Optimization:
   • Implemented liquid clustering to reduce data fragmentation and improve query execution speed.
3. Cost Optimization:
   • Optimized storage usage through vacuum operations, reducing unnecessary cloud expenses.
4. Monitoring & Insights:
   • Developed interactive dashboards for cost and performance monitoring.
   • Tracked key performance and cost metrics to assess and optimize efficiency.

Impact

• Significant Reduction in Operational Costs: Optimized cluster configurations and eliminated inefficient resource consumption, resulting in significant annual cost reductions.
• Minimized Pipeline Execution Costs: Identified and optimized high-cost data pipelines reducing compute expenses.
• Reclaimed 130TB of Storage: Executed vacuum processes across environments, reclaiming over 130 terabytes of unused data, significantly improving storage efficiency and cost.
• Improved Cluster Efficiency: Tuned partition strategies and enabled optimize write, enhancing cluster performance.
• Accelerated Query Performance: Leveraged liquid clustering to boost query execution speed and enhance data processing.
• Strengthened System Monitoring: Enabled historical query execution tracking, helping teams quickly diagnose and resolve slow-performing workloads.
• Delivered Actionable Dashboards: Delivered actionable insights through dashboards, improving cost and performance monitoring.

By optimizing cloud infrastructure and streamlining workflows, Systech empowered the client with a cost-efficient, high-performance data environment.

Looking to Optimize Your Databricks Environment? Unlock the full potential of your data platform with Systech! Whether you need to reduce cloud costs, enhance performance or scale your analytics, we’re here to help.

Contact us today to drive data-driven innovation!

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