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Scrap Recycling & Consolidation SolutionData Platform Optimization of a large Scrap Collection, Recycling & Consolidation system.

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Problem Statement

The client is a large Scrap Collection, Recycling & Consolidation firm based out in the US. The product was already made, but over the period of time it started experiencing performance issues from database end. This was yet another self-designed project which would have started without any help from a professional DBA, but starts experiencing problem after data growth.

We got a call from mutual connections that they were experiencing performance issues. They said that they had a DBA earlier but was not able to get to the root cause of the issue, so we brought one of our DBAs on board.

Solution Design & Implementation

  1. Immediate Performance Optimization
    • Tuned stored procedures and added indexes to resolve slow-running queries, achieving significant performance improvements.
    • Identified that indexing and query optimization alone would not provide long-term scalability.
  2. Archival and Data Warehousing
    • Designed and implemented an archival solution to offload historical data from OLTP systems, reducing database size and improving application performance.
    • Developed a data warehouse optimized for analytics, transforming data into a schema that enabled fast report generation.
    • Maintained an archival database with original records for audits and recovery in case of ETL or transformation errors.
  3. ETL and Automation
    • Automated data movement between OLTP, archival, and data warehouse systems during non-operational hours, ensuring minimal impact on live operations.
    • Configured self-adjusting archival policies to make the solution flexible and adaptable to changing data volumes.
  4. Server Administration and Recovery
    • Scheduled maintenance jobs for proactive issue identification, including monitoring for database corruption.
    • Recovered data from corrupted databases caused by frequent power outages using advanced retrieval techniques, minimizing data loss even without backups.

Technology Stack

  • Microsoft SQL Server
  • Microsoft SQL Server Integration Services
  • Microsoft T-SQL

Key Expertise

  • ETL (Extract, Transform & Load) Architecture & Development
  • SQL Performance Tuning
  • Data Archival & Retention Strategy
  • Database Architecture & Development
  • 24×7 Server Monitoring
  • Data Corruption Identification & Resolution
  • Database Server Maintenance

Results

Here’s what we achieved with the new system:

  • Query Execution Time brought down to 0 seconds for the critical concurrently running queries on all SaaS databases.
  • Database Server scaled to handle 200+ databases on a single SQL Server instance.
  • Data Corruption Issues reduced by 90% after regular maintenance & monitoring.
  • 6TB+ data managed across 3 SQL servers.
  • 60% reduction in Wait Times on SQL Server.
  • 75+ New Indexes created, 45+ Altered & 20+ Unused Indexes Dropped to optimize queries .
  • Data Archival solution improved performance by 30% of overall database server.
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