Modernize Your Data Platform

As ex-Informatica professionals and Premium Partners, we accelerate cloud migration and platform modernization — reducing risk and delivering value faster with proven methodologies and deep technical expertise.

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Why Modernize

Legacy platforms are holding your organization back. Modernization unlocks cost savings, agility, and the ability to leverage AI and advanced analytics.

Rising Infrastructure Costs

Legacy on-premises platforms demand expensive hardware refreshes, licensing renewals, and growing operational overhead that erodes IT budgets year after year.

Skills Gap & Talent Shortage

Finding professionals who can maintain aging PowerCenter, Teradata, or Netezza environments is increasingly difficult and costly as the talent pool shrinks.

Scalability Limits

On-premises systems hit hard ceilings on compute and storage capacity, creating bottlenecks that slow down analytics and block business growth.

AI Readiness

Modern AI and machine learning workloads require cloud-native architectures with elastic compute, real-time data access, and governed data pipelines.

PowerCenter to CDI-PC

Migrate from Informatica PowerCenter to Cloud Data Integration - PowerCenter (CDI-PC) with automated conversion that dramatically reduces time, cost, and risk.

Up to 80% Automated Conversion

Our automated migration tools convert PowerCenter mappings, workflows, and sessions to CDI-PC with high fidelity — minimizing manual effort and accelerating your path to the cloud.

01

Assessment

We analyze your PowerCenter repository — mappings, workflows, connections, and custom transformations — to determine migration scope, complexity, and automation eligibility.

02

Automated Conversion

Our tooling converts eligible mappings, sessions, and workflows to CDI-PC format automatically. Complex transformations and custom code are flagged for targeted manual remediation.

03

Optimization

We optimize converted assets for cloud-native execution — leveraging elastic compute, pushdown optimization, and CDI-PC-specific features to improve performance and reduce cost.

04

Testing & Cutover

Comprehensive data validation ensures parity between PowerCenter and CDI-PC outputs. We execute a phased cutover plan with rollback options to ensure zero data loss.

Warehouse Modernization

Migrate your data warehouse to a modern, cloud-native platform. We handle the heavy lifting — from schema conversion to pipeline migration.

Oracle/SQL Server to Snowflake

Migrate traditional RDBMS workloads to a cloud-native analytics platform.

  • Schema conversion and data type mapping
  • Stored procedure and SQL translation
  • ETL/ELT pipeline migration to Informatica CDI
  • Performance benchmarking and optimization

Teradata/Netezza to Snowflake

Escape proprietary lock-in and move to an elastic, consumption-based warehouse.

  • BTEQ and stored procedure conversion
  • Workload analysis and right-sizing
  • Historical data migration and validation
  • BI and reporting layer reconnection

On-Premises to Cloud-Native

Transition your entire data warehouse tier to a modern cloud architecture.

  • Cloud readiness assessment and TCO analysis
  • Landing zone setup (AWS, Azure, or GCP)
  • Data pipeline modernization and orchestration
  • Cutover planning with zero or minimal downtime

Hybrid Architectures

Not every workload belongs in a single cloud. We design hybrid architectures that let you modernize at your own pace while keeping data accessible everywhere it is needed.

Starburst

Data Federation

Query data across clouds, on-premises, and data lakes without moving it.

Amazon S3

Data Lake Storage

Scalable, cost-effective storage for structured and unstructured data.

Informatica

Data Integration

Unified integration layer connecting all sources with governed pipelines.

When Hybrid Makes Sense

  • Regulatory requirements — Certain data must remain on-premises or in specific regions due to compliance mandates like GDPR, HIPAA, or data sovereignty laws
  • Gradual migration — Move workloads to the cloud incrementally while keeping legacy systems operational during the transition period
  • Multi-cloud strategy — Avoid vendor lock-in by distributing workloads across AWS, Azure, and GCP while maintaining a unified data fabric
  • Cost optimization — Keep high-volume, predictable workloads on-premises while bursting to the cloud for elastic, variable demand

Our Approach

A proven, phased methodology that minimizes risk and maximizes value at every stage of your modernization journey.

01

Assessment & Discovery

We inventory your current data landscape — platforms, workloads, dependencies, and technical debt — to build a clear picture of scope and complexity.

02

Migration Planning

We define the target architecture, prioritize workloads by business value and risk, and build a detailed migration roadmap with clear milestones and success criteria.

03

Execution & Validation

We execute the migration using automated tooling and proven accelerators, with comprehensive data validation at every step to ensure accuracy and completeness.

04

Cutover & Optimization

We orchestrate a controlled cutover with rollback options, then optimize the new platform for performance, cost, and operational efficiency.

Explore Related Solutions

Modernization connects to every aspect of your data strategy. Explore how we can help across the full stack.

Informatica IDMC

Lakehouse Analytics

Master Data Management

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