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Comprehensive Code Analysis for Migration Readiness
PDI Analyzer is an advanced AI-driven tool designed to conduct an in-depth assessment of existing data platforms, providing actionable insights for migration and optimization.
Key Features
- Automated Code Scanning: Identifies complexities, dependencies, and potential risks in existing scripts and data pipelines.
- Detailed Reports: Generates reports outlining migration requirements, potential optimizations, and architectural improvements.
- Risk Assessment: Provides a thorough analysis of areas requiring attention before migration.
- Performance Insights: Suggests improvements to enhance query performance and streamline workflows.
Benefits
- Reduces manual effort in migration assessments.
- Identifies bottlenecks early in the process, minimizing risk.
- Enhances migration accuracy and efficiency.
- Saves time and resources by automating code analysis.
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Sample Use Case 1: ETL Assessment Use Case
Scenario: Assessing Legacy ETL Performance and Complexity Before Migration
Business Challenge:
A global healthcare organization has an extensive ETL pipeline built over a decade using Informatica PowerCenter. The organization is planning a migration to a modern cloud ETL platform such as AWS Glue but lacks visibility into existing ETL complexity, dependencies, and performance bottlenecks.
Solution with PDI Analyzer:
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Scans legacy ETL pipelines for redundancies and inefficiencies.
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Analyzes dependencies across tables and data sources.
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Generates pre-migration optimization reports to reduce workload.
Benefits:
- 50% reduction in redundant ETL processes
- Identifies transformation inefficiencies
- Improves migration planning
Sample Use Case 2: Data Warehouse Evaluation Use Case
Scenario: Analyzing Data Warehouse Complexity and Readiness for Cloud Migration
Business Challenge:
A financial institution operates an on-premises Teradata data warehouse that struggles with scalability, query performance, and maintenance costs. The organization is planning a transition to Google BigQuery but lacks insights into schema complexity, stored procedures, and migration feasibility.
Solution with PDI Analyzer:
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Analyzes schema, indexing, and query performance for optimization.
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Assesses complexity, highlighting inefficiencies and data issues.
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Suggests indexing and partitioning for cloud performance.
Benefits:
- 40% improvement in cloud data warehouse performance
- Reduced migration effort
- Data modeling optimization
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Sample Use Case 3: BI Report Optimization Use Case
Scenario: Assessing BI Report Performance for Modernization
Business Challenge:
A retail company relies on legacy BI tools like Cognos and BusinessObjects, which suffer from slow dashboard performance and outdated data models. The company aims to migrate to Tableau and Power BI but needs insights into report complexity, query performance, and usage patterns.
Solution with PDI Analyzer:
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Scans BI reports, dashboards, and queries for bottlenecks.
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Identifies unused or redundant reports to reduce migration effort.
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Suggests query and data model optimizations for performance.
Benefits:
- 30% reduction in unnecessary BI reports.
- Improved dashboard performance.
- Faster time-to-value for business users.
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Feedback From Customers
Revathi Bhimavarapu
Director of Business Intelligence & Analytics – STERIS Corporation
“Our data integration relied on Informatica PowerCenter for a long time. While it served us well, it was time to embrace a modern solution. Pacific Data Integrators' (PDI) expertise in Informatica Intelligent Data Management Cloud (IDMC) migration made the transition remarkably smooth. We successfully transferred data integration workloads, achieving a performance boost with the Informatica cloud-based platform (IDMC). This not only empowers our team but also positions us for future scalability.”
