Data Consulting Services | Data Warehouse Consulting Services

Data warehouse consulting services

Unlock the full potential of your analytical data by moving to a modern cloud platform. Migrating a data warehouse is more than a simple lift-and-shift; it's an opportunity to modernize your architecture for speed, scalability, and advanced analytics. Our expert data warehouse consulting services manage the entire migration process, from assessment and planning to data validation and cutover, ensuring a seamless transition that minimizes business disruption and accelerates your time-to-insight.

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Pythian has the top data warehouse consultants

Our data warehouse consulting is delivered by a team of certified experts using a proven methodology to de-risk your move to the cloud. We help you transition from legacy systems to a modern, high-performance analytics platform that reduces costs and powers smarter decisions.

25+

Years of experience

Since 1997, we have been helping organizations solve their toughest data challenges, including migrating complex, high-volume data warehouses for global enterprises.

45+

Data technologies supported

Our consultants have deep expertise across more than 45 database, data warehouse, and cloud technologies, allowing us to provide expert guidance on migrating from virtually any source to your target platform.

500+

Global customers

As a global service provider, we serve customers across the world—many who have trusted us for decades with their most critical data migration projects.

What's included in Pythian's data warehouse consulting service?

An end-to-end service for a seamless transition

Our data warehouse consulting service provides a comprehensive, end-to-end solution for planning and executing a smooth migration from a legacy on-premise system to a modern cloud environment. We minimize risk and business disruption while ensuring your new platform delivers immediate value.

Migration assessment and strategy

We inventory your existing data warehouse environment, including schemas, data pipelines, and downstream dependencies. This analysis helps us determine the optimal migration strategy and select the right cloud platform for your needs.

Schema and code conversion

We use specialized tools to automatically convert your existing database schema and code (e.g., stored procedures, UDFs) to the new cloud platform. Our experts then manually refactor and optimize the code for native cloud performance.

Data migration and validation

Our team manages the full data transfer from your source system to the new cloud environment. We then perform rigorous data validation to ensure completeness and integrity, guaranteeing that your data is accurate post-migration.

Pipeline and ETL modernization

We re-engineer your existing ETL/ELT pipelines to align with cloud-native best practices, ensuring your new data warehouse is populated with reliable, timely data.

Performance tuning and optimization

After the migration, we fine-tune your new cloud data warehouse for optimal performance and cost-effectiveness, ensuring you get the most value from your investment from day one.

An American supply chain provider gains control with a migration to OCI

A leading supply chain and logistics provider needed more control and flexibility over their critical database patching and upgrades than their previous provider offered. Our consultants planned and executed a complex data migration to Oracle Cloud Infrastructure (OCI), a strategic move that provided them with ultimate control over their data environment and was supported by ongoing managed services to ensure a smooth transition.

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No matter where your data resides, Pythian is here to manage it better

Pythian supports over 45 technologies—from data platforms, data warehouses, data lakes, databases to cloud.

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Business outcomes you can expect partnering with Pythian’s data warehouse consulting service

Go beyond migration to accelerate your analytics

We plan your data warehouse migration to help you reduce costs, improve performance, and innovate faster. Our roadmap goes beyond simply moving data to prepare your new platform for advanced analytics, AI, and machine learning.

Accelerate query and report performance

Leverage the power of a modern cloud data warehouse to run complex queries in seconds, not hours. Provide your business users with faster access to insights and a more responsive, interactive analytics experience.

Increase scalability and flexibility

Move from the rigid constraints of on-premise hardware to a cloud platform that scales compute and storage independently and on-demand, ensuring you can handle any analytical workload.

Lower total cost of ownership (TCO)

Eliminate expensive on-premise hardware, maintenance, and licensing costs by moving to a flexible, pay-as-you-go cloud model. We help you optimize your new environment to control spending and maximize your ROI.

Enable advanced analytics and AI

A modern cloud data warehouse is the foundation for your most advanced analytics initiatives. We don't just move your data; we prepare your new platform to be the engine for your machine learning and AI-powered future.

How Pythian's data warehouse consulting service works

A systematic approach to building your data pipelines

Our data warehouse service is a systematic and collaborative process designed to give you a clear and comprehensive data integration strategy, culminating in an actionable plan to create a single source of truth for your business.

Assessment and planning

We begin with an in-depth analysis of your current data warehouse and dependencies to build a comprehensive migration roadmap and business case.

Migration and modernization

Our data engineers handle the complexities of the schema, code, and data transfer, using proven methodologies and validation techniques to ensure a seamless transition.

Cutover and validation

We manage the final cutover from your legacy system to the new cloud platform with minimal downtime and perform final validations to ensure business continuity.

Optimization and support

After a successful deployment, Pythian can provide ongoing managed services for your new data warehouse, including continuous monitoring, troubleshooting, and optimization.

Modernize your analytics with seamless data warehouse services

Ready to accelerate innovation on a modern cloud data warehouse?

Related resources

See how our customers succeed with a modern cloud analytics platform

Learn how our data warehouse consultants help businesses build a strong data foundation to enable advanced analytics, improve decision-making, and drive innovation.

An American supply chain provider migrates its data to the cloud
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An American supply chain provider migrates its data to the cloud

Learn how a leading logistics company executed a complex data migration to Oracle Cloud Infrastructure (OCI) to gain more control and flexibility over its critical database environment.

Read the story ->
University of Massachusetts enables advanced analytics in the cloud
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University of Massachusetts enables advanced analytics in the cloud

The University of Massachusetts migrated its on-premise analytics environment to Snowflake in the cloud to overcome scalability and performance issues. The new platform enables advanced analytics and provides a scalable foundation for future data-driven initiatives.

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A major online retailer adopts a cloud-first strategy
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A major online retailer adopts a cloud-first strategy

A large online retailer decided to migrate two large on-premise data centers to the public cloud. They needed a vendor-agnostic advisor to help plan the complex migration and choose the right cloud platform. Pythian provided strategic business and technical consulting, helping the retailer weigh options from major vendors based on performance, price, and ROI to develop a comprehensive migration strategy.

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Frequently asked questions (FAQ) about data warehouse consulting

What is a data warehouse consulting?

Data warehouse consulting is the process of moving a data warehouse from one environment to another. This most commonly involves moving from a legacy on-premise system (like Teradata, Netezza, or Oracle) to a modern cloud-based data warehouse (like Google BigQuery, Amazon Redshift, or Snowflake).

Why should I migrate my data warehouse to the cloud?

You should migrate to the cloud to take advantage of superior scalability, performance, and cost-effectiveness. Cloud data warehouses allow you to scale compute and storage independently, pay only for what you use, and provide a powerful foundation for advanced analytics and machine learning without the burden of managing hardware.

What are the biggest challenges in a data warehouse migration?

The biggest challenges typically include converting complex, proprietary SQL and stored procedures to the new platform, ensuring data is migrated completely and accurately without lengthy downtime, and re-engineering ETL/ELT pipelines to work with the new cloud environment.

 

What is the difference between a "lift-and-shift" and a "modernization" approach?

A "lift-and-shift" approach aims to replicate your existing data warehouse in the cloud with minimal changes. A "modernization" approach takes the opportunity to re-architect and optimize your data models, pipelines, and code to take full advantage of the cloud platform's native capabilities, which typically delivers greater long-term benefits.

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