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Modernization to Snowflake

How do you move from legacy data platforms to the Snowflake Data Cloud?

Outdated ETL tools and on-premise systems drive up costs, limit scale, and keep insights siloed. Passerelle’s Snowflake Data Cloud modernization services combine flat-fee accelerators, proven migration frameworks, and enablement programs to deliver faster time to value and predictable outcomes.

Modernization to Snowflake

Accelerate migration to a secure, scalable, and AI-ready cloud platform.

Legacy platforms and custom ETL pipelines are expensive to maintain and difficult to scale. Snowflake provides an elastic, governed environment where structured, semi-structured, and unstructured data can live in one place, accessible in real time.

With modernization to Snowflake you can:

  • Eliminate legacy licensing and infrastructure costs.
  • Unify disparate datasets in a single governed cloud environment.
  • Enable secure data sharing and collaboration without duplication.
  • Establish a foundation for advanced analytics, machine learning, and AI.

How It Works

Modernizing to Snowflake requires a structured approach that minimizes downtime and accelerates adoption. Passerelle provides the tools, accelerators, and expertise to deliver predictable results.

  • Assessment – Evaluate current ETL tools, data architecture, and migration needs.
  • Migration – Move data pipelines, models, and workloads into Snowflake using predefined frameworks and accelerators.
  • Enablement – Equip teams with Snowflake best practices, training, and governance.
  • Expansion – Build use cases such as customer 360, real-time analytics, or AI readiness on your modernized platform.

Customer Testimonials

“We knew right out of the gate that Snowflake would be our end solution because it is future-proofed. It can solve the problems we have today, but we’re already thinking about tomorrow’s problems and working toward solutions for those challenges." Traci Michel, COO and Chief Strategy Officer at Metro Credit Union

A Best Practices Approach to Snowflake Modernization

Migration Frameworks

Move away from legacy ETL platforms with proven migration blueprints. Passerelle reduces risk and cost by reverse-engineering existing workloads and deploying equivalent, optimized pipelines in Snowflake.

Highline Accelerators

Accelerate adoption with flat-fee Highline packages for Snowflake. Start with foundational setup, expand into analytics integration, or implement a use case in as little as 120 hours.

Data Rocket

Leverage a pre-engineered, end-to-end data framework that combines governed ingestion, data quality monitoring, observability, and analytics integration. Data Rocket establishes best practices from day one while preparing your Snowflake estate for AI initiatives.

Enablement & Training

Ensure your team can manage and scale your new Snowflake environment. Passerelle provides workshops, documentation, and hands-on enablement so your staff are confident and self-sufficient.

Ongoing Support

Maintain and optimize Snowflake with flat-fee managed services. Dedicated administrators monitor performance, governance, and cost controls so your environment remains efficient and secure.

Related Offerings

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Snowflake
Highline
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Snowflake
Watch
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Data
Rocket

Frequently Asked Questions

Q: How long does a Snowflake migration take?

A: Timelines vary, but many clients see results within 90 days using Highline accelerators and migration frameworks.

Q: What if our team doesn’t have Snowflake experience?

A: Training and enablement are built into every engagement to ensure your team is confident managing the new environment.

Q: Will modernization prepare us for AI?

A: Yes, with the right approach to modernization with Snowflake, your environment will be AI-ready with governed, high-quality data.

Case Studies

We help businesses harness the power of their data.

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Avidia
Bank
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State
of Rhode Island
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Washington
University in St. Louis
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Camden
National Bank
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