Data Warehouse & Data Lake Consulting

Maximize data velocity and minimize costs with our end-to-end warehouse services. 

Speak with a data platform expert today ->

$1.2M+

Annual savings—resolving bill shock 

10x

Faster performance in dashboards

99.99%

Reliability with automated alerts

Our end-to-end data warehouse and data lake consulting services

Stabilize revenue with more reliable systems

If your system is down or nightly jobs are failing, our data engineers restore service immediately. We don't just reboot; we perform a deep-dive RCA to identify if the issue was a disk-full error, schema drift, or network misconfiguration. By configuring High Availability and automating backup/restore testing, we build a safety net around your data

Eliminate bill shock, right-size your systems

We identify hidden risks and performance bottlenecks. Through query refactoring, indexing, and right-sizing cloud resource allocations, we ensure you aren't paying for a "Ferrari" server when a "Sedan" will suffice. This step is vital for scaling the system without a massive budget increase.

Migrate business data with confidence 

Move data from aging on-premise hardware to elastic cloud environments. Unlike a simple "lift and shift," we perform schema conversion and validation to ensure zero data loss and total logic parity. Empower your business to finally leverage advanced AI and machine learning tools.

Better data management 

Pythian acts as your control Tower, providing 24/7 global coverage. We manage user permissions, encrypt sensitive data, and provide recommendations to achieve further savings and reliability.

We support the data warehouse and lake technologies you use

Pythian bridges the gap between aging on-premise giants and cloud-native powerhouses, ensuring your data remains a strategic asset rather than a source of stress.

Cloud native modern data platforms and warehouses

Legacy on-premise data warehouses 

Canadian retailer accelerates insights with a unified data platform

The customer partnered with Pythian to accomplish a centralized source of truth.

A leading Canadian clothing retailer struggled with siloed data and slow, manual reporting that prevented timely decision-making. By deploying Pythian's enterprise data platform (EDP) quickstart for Google Cloud, the company created a centralized source of truth. The new data platform enables self-serve analytics, allowing business users to access critical insights in near real-time and build a more data-driven culture.

Read the success story ->
Canadian retailer accelerates data insights partnering with Pythian.

Ready to transform your data warehouse or data lake?

Speak with a data platform expert today ->

Data warehouse and data lake services frequently asked questions (FAQ)

How do you ensure data security and governance during a platform migration?
We implement a robust security and governance framework from day one. This includes establishing clear policies for data access, handling, and classification, along with encryption, data catalogs, metadata management, and fine-grained access controls. During migration, we maintain strict data integrity validation and audit trails so your sensitive information is protected throughout the transition—not just after go-live.
How do you measure and ensure ROI on a data warehouse or data lake investment?
Every engagement starts with a strategic assessment that maps your platform investment to specific business outcomes—whether that's reducing total cost of ownership, accelerating time-to-insight, or enabling new analytics and AI capabilities. We track quantifiable milestones throughout delivery, and our post-launch optimization services ensure your platform continues to deliver value as your data volumes and business needs evolve.
What's the difference between a data warehouse and a data lake, and which one do I need?
A data warehouse stores structured, processed data optimized for business intelligence and reporting. A data lake stores all types of data—structured, semi-structured, and unstructured—in its raw format, making it ideal for data exploration, data science, and machine learning. Many organizations benefit from both, often converging on a "lakehouse" architecture. Pythian provides vendor-neutral guidance to help you choose the right approach based on your workloads, analytics goals, and budget—not on platform vendor preferences.
Can you help us modernize without migrating to a completely new platform?
Absolutely. Not every modernization requires a full platform migration. For many organizations, the right move is to optimize, tune, and harden governance on their current platform—especially for modern environments like Snowflake or Databricks that are scaling, not sunsetting. Pythian meets you where you are and helps you get more value from what you've already built, whether that means optimizing performance, reducing costs, or maturing your data engineering practices.
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Pythian's related data warehouse and data lake services

From stable foundations to production AI—Pythian covers the full data journey.