Case Studies

Real-world success stories and transformations

Teradata to Snowflake migration assessment for a large commercial bank showing the source estate, Modernization Canvas, source-connected inventory, complexity scoring, Snowflake target architecture, dependency-aware wave planning, sample BTEQ and stored procedure conversions, and senior architect review.

Teradata to Snowflake: An 8-Day Source-Connected Assessment for a Large Commercial Bank

A large commercial bank completed a Teradata-to-Snowflake assessment in 8 business days using a source-connected Modernization Canvas. The assessment covered approximately 12,000 stored procedures and 600 BTEQ scripts, including estate inventory, per-object complexity scoring, Snowflake target architecture, dependency-aware wave planning, and representative code conversions under senior architect review.

Modernization Canvas
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Cataloging 1,600 undocumented MySQL tables in 3 days for a post-acquisition retail integration to Google BigQuery, showing source estate, metadata intelligence, reverse engineering, and delivered metadata outputs.

Cataloging 1,600 Undocumented Tables in 3 Days for a Post-Acquisition Retail Integration

Post-acquisition retail integration depends on knowing what the acquired data estate actually contains before target design begins. For an Australian retailer, that visibility was missing. The acquired company ran across eight MySQL databases, the estate was undocumented, and no subject matter experts were available to explain table purpose, structure, or meaning. The target was Google BigQuery, but the integration could not proceed until the team had a documented source foundation. The engagement used Metadata Intelligence and Reverse Engineer accelerators directly against the undocumented sources. Instead of relying on interviews, the work read the systems themselves, extracted metadata, profiled the data, and recovered structure and meaning from the databases as they existed. In 3 business days, the team documented 1,600 tables and more than 24,000 columns, delivered more than 50 candidate KPIs within hours of the request, unblocked the BigQuery target architecture, and retained a permanent metadata asset for ongoing governance.

Accelerators
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8-day SQL Server + SSIS to Fabric Assessment

SQL Server and SSIS to Microsoft Fabric: An 8-Day Source-Connected Migration Assessment for a P&C Insurer

SQL Server and SSIS migrations to Microsoft Fabric need clear source visibility before execution begins. For a US property and casualty insurer, the source estate included on-premises SQL Server 2019, SSIS-based ETL, stored procedures, views, SSIS packages, and SQL Agent jobs supporting policy and claims analytics. The migration had to preserve complex business logic while moving toward Fabric's hybrid Warehouse and Lakehouse pattern. The team needed a plan it could act on, not another high-level strategy document. The 8-business-day Modernization Canvas read the estate directly, produced source-connected inventory, scored object-level Fabric Warehouse compatibility, classified SSIS packages by migration approach, designed the hybrid target architecture, and reviewed representative T-SQL to Fabric T-SQL conversions under senior architect oversight.

Modernization Canvas
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Custom accelerator suite architecture showing SI delivery challenges converted into branded in-house tools across the data engagement lifecycle.

US System Integrator Builds In-House Accelerator Suite for 300+ Data Specialists

A data and analytics system integrator wanted to standardize how 300+ specialists produced delivery artifacts across pre-sales and active programs. Technical specifications, estimates, solution designs, project plans, and migration assessments were being created manually with inconsistent quality. 3X Data Engineering helped design and build a fully branded in-house accelerator suite that codified the firm’s delivery methodology and scaled consistent artifact generation across the organization.

Acceleration Advisory
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Pre-acquisition data engineering assessment flow from legacy SQL Server and Oracle estate to board-ready deliverables in 10 business days.

Private Equity Firm Gets Data Engineering Assessment Before Acquisition Close in 10 Days

A private equity firm needed to understand the modernization effort behind a target company’s legacy SQL Server and Oracle estate before acquisition close. The operating team lacked visibility into system complexity, dependencies, PII exposure, and post-close integration risk. 3X Data Engineering completed a source-connected assessment in 10 business days, delivering object-level complexity scoring, dependency mapping, two modernization effort scenarios, and a board-ready integration briefing.

Acceleration Advisory
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AI-augmented delivery adoption framework for a 60-person fintech data team across six workstreams and five deployed accelerators.

60-Person Fintech Data Team Adopts AI-Augmented Delivery in 12 Weeks

A fintech data engineering organization with 60 people was running six active workstreams using a fully manual delivery model. Requirements, source profiling, technical specifications, code, and documentation were handled by hand, creating delays and quality issues. 3X Data Engineering ran a 12-week acceleration advisory engagement, deployed five accelerators, created role-based playbooks, and certified 15 internal champions so the team could sustain AI-augmented delivery independently.

Acceleration Advisory
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Metadata discovery architecture showing 8 MySQL databases converted into a BigQuery-ready metadata catalog in 3 business days.

1,600 Undocumented Tables Cataloged in 3 Days for BigQuery Migration

An Australian retailer needed to consolidate 8 undocumented MySQL databases into Google BigQuery after an acquisition. With no data dictionaries, schema descriptions, business context, or available SMEs, the migration planning was blocked. 3X Data Engineering used metadata intelligence and reverse engineering to catalog 1,600+ tables, enrich 24,000+ columns, map relationships, classify domains, and identify 50+ KPIs in 3 business days.

Accelerators
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Forward engineering architecture showing 48 healthcare source feeds converted into an execution-ready Patient 360 data platform plan.

Patient 360 Platform Planned and Designed in Under One Week

A US healthcare business unit needed to build a Patient 360 analytics platform from 48 source feeds but lacked the architecture, target data models, ETL logic, roadmap, and sponsor-ready artifacts needed to move forward. 3X Data Engineering used forward engineering and metadata intelligence to generate the platform design, Patient 360 data model, ETL scripts, KPI mapping, project plan, and execution-ready canvas in 5 business days.

AI-Augmented Data Engineering Services
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SQL Server to AWS Redshift migration architecture showing source objects, 3X accelerators, target deliverables, and 8-day timeline.

SQL Server to Redshift Migration Unblocked in 8 Days

A financial services migration from SQL Server 2015 to AWS Redshift was stalled because the team had no reliable documentation of stored procedures, views, ETL scripts, dependencies, or embedded business logic. 3X Data Engineering used AI-powered reverse engineering, metadata intelligence, and T-SQL gap analysis to document the legacy estate, identify migration risks, and produce a fact-based Migration Canvas in 8 business days.

Modernization Canvas
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