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Database Migration to Amazon Redshift   

 

GenAI-powered schema conversion, SQL translation, and data validation

for migrating Oracle, SQL Server, and IBM Netezza to Amazon Redshift.  

 

<p>Talk to Our AI Experts</p>

 

 

Overview
 
Legacy enterprise data warehouses built on Oracle, SQL Server, and IBM Netezza carry complex schema designs, platform-specific SQL, procedural logic, and tightly coupled performance optimizations. These systems often require significant effort for maintenance, scaling, and modernization. As organizations move toward cloud-native analytics platforms, there is a growing need to efficiently migrate these workloads to Amazon Redshift while reducing manual effort and ensuring consistency in schema and code conversion.

KPI Partner's EDW Migration Accelerator for Amazon Redshift leverages a GenAI-assisted framework to analyze source schemas, translate SQL dialects, convert database objects, and generate migration-ready artifacts for Redshift implementation. The accelerator focuses on schema conversion, SQL translation, workload assessment, and Redshift physical design optimization. Data validation and reconciliation are handled as a separate workstream using KPI Partners Data Validator accelerator.  

 

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Why KPI Partners

Microsoft
AWS Select Tier Partner 
KPI Partners is an AWS Select Tier partner with AWS-certified consultants delivering modern analytics platforms across healthcare, retail, energy, financial services, high-tech, manufacturing, and higher education.
GenAI-Powered Tooling
A proprietary GenAI framework purpose-built for database migration, handling Oracle PL/SQL, T-SQL, and Netezza SQL dialect translation with automated schema conversion and confidence scoring.
Proven Delivery
50+ AWS customers and extensive cloud analytics delivery experience, with a track record of enterprise EDW migrations to Amazon Redshift.

 

 

End-to-End Delivery
From initial workload assessment through production go-live and post-migration support, a single partner for the entire Redshift modernization journey.

Supported Source Platforms

 

The accelerator supports migrations from Informatica PowerCenter and Oracle Data Integrator.

Migration Process: Five Stages

 

Workload Assessment and Profiling

Source database objects are profiled, including schemas, tables, views, stored procedures, functions, row volumes, and query complexity. This enables migration planning and complexity assessment.

Schema Conversion (DDL/DML)

Source DDL is extracted and converted to Redshift-compatible CREATE TABLE statements. Data types, constraints, and partitioning schemes are translated. Unsupported constructs are flagged with recommended alternatives.

GenAI SQL Dialect Translation

Stored procedures, views, UDFs, and ad-hoc queries are converted from the source SQL dialect to Redshift SQL using a GenAI translation engine. Conversion confidence scores guide SME review priorities.

Distribution and Sort Key Advisor

Query workload patterns are analyzed to recommend optimal DISTKEY and SORTKEY assignments, compression encodings, and materialized view candidates for maximum Redshift performance.

Validation and Reconciliation

Data validation and reconciliation are handled separately using KPI Partners Data Validator accelerator, which performs row-count, aggregate-level, and statistical validation between source and Amazon Redshift outputs.

Standard Enterprise

AI Engagement Model

 

AI Engagement Model

 

Key Capabilities

 

1 Automated schema profiling and migration scope assessment.
2 GenAI-assisted conversion of source DDL into Redshift-compatible schema definitions.
3 SQL dialect translation for Oracle SQL, T-SQL, and Netezza SQL.
4 Identification of unsupported constructs with remediation guidance.
5 Redshift physical design recommendations (distribution style, sort keys, compression).
6 Translation support for views, stored procedures, and procedural logic where feasible.
7 Migration-ready output artifacts for accelerated implementation.
8 Structured approach for large-scale warehouse modernization.

Get Started

 

Talk to a KPI Partners AWS migration specialist to scope your database

migration and receive a rapid assessment of your current EDW environment.  

Request a Demo

Success Stories

 

Data Platform Migration for Modern Analytics

 

KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:
 
BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗

 

Get Started With DataBridge Suite
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Explore Real-World
Data Platform Migration Case Studies

 

<div style="text-align: center;"><span style="font-size: 18px;"><strong>View Case Studies</strong></span></div>

 

BI Platform Migration

1 Tableau to Power BI
2 Qlik to Power BI
3 Oracle to Power BI
4 Pentaho to Power BI
5 Business Objects to Power BI
Description Text is Optional

GenAI Accelerators

1 GenAI: Relational Database +Appliance Migrator to Databricks
2 GenAI: Informatica-to-Databricks Migrator
3 GenAI: KnowledgeGPT
4 GenAI: ApplicationGPT
5 GenAI: DataGPT
6 GenAI: CodeGPT
7 GenAI: TestGPT

Databricks Accelerators

1 KPI's Data Products on Databricks
2 GenAI: Relational Database +Appliance Migrator to Databricks
3 GenAI: Informatica-to-Databricks Migrator
4 Infrastructure Optimizer
5 Databricks Unity Catalog Enablement
Description Text is Optional
6 Data Quality Validator for Databricks
Description Text is Optional

Snowflake Accelerators

1 KPI's Data Products on Snowflake
2 Oracle / SQL Server to Snowflake Migration
3 Snowflake Cost Optimization App
4 Snowflake Security Automation App
5 Snowflake Data Governance App
Description Text is Optional
6 Data Quality Validator for Snowflake
Description Text is Optional

KPI Data Products on Any Cloud

1 KPI's Data Products on Snowflake
2 KPI's Data Products on Databricks

Microsoft Fabric Migration Accelerators

1 EDW (Snowflake, Redshift, Oracle/ADWC, Teradata, and Netezza) to Microsoft Fabric Migration Accelerator

Google Accelerators

1 Marketing Analytics and AI/ML  for GA
2 Oracle to BigQuery Migration Utility
3 Snowflake to BigQuery Migration Utility
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