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Technology Partners

Bring leading data platforms together to create a connected ecosystem built for analytics, AI, and faster decisions.

Modern data platforms are powerful on their own. Their real value comes from how well they work together.

Is your data stack becoming more powerful, but harder to connect and manage? As new platforms and tools are introduced, fragmented pipelines, inconsistent governance, rising costs, and disconnected workflows can make it difficult to realize the full value of each investment.

Building a modern data ecosystem means making every technology work as part of a connected whole. We help you connect these capabilities into one modern data ecosystem, combining expertise across Snowflake, Databricks, dbt Labs, Matillion, and Striim to modernize platforms, integrate data, automate transformation, enable real-time movement, and establish the governance needed to scale. The result is a technology ecosystem that performs reliably, supports analytics and AI, and helps your business turn data into faster decisions and measurable outcomes.

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Multiply outcomes across your data ecosystem

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Snowflake

Snowflake

Build and optimize a governed Snowflake environment across data engineering, analytics, AI, cost management, and ongoing platform operations.

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Databricks

Databricks

Create a production-ready Databricks environment for data engineering, lakehouse modernization, analytics, AI, governance, and platform optimization.

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dbt Labs

dbt Labs

Modernize data transformation with scalable analytics engineering practices, governed semantic models, automated testing, and structured enablement.

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Matillion

Matillion

Connect applications, source systems, and cloud platforms through scalable data integration, orchestration, API connectivity, and automated pipelines.

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Striim

Striim

Move operational data in near real time through enterprise streaming, change data capture, and distributed data synchronization.

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Achieve more with Logic Pursuits

Connect your technology ecosystem

Connect your technology ecosystem

Bring platforms, applications, pipelines, and transformation layers together into a connected architecture designed around how your business uses data.

Accelerate modernization

Accelerate modernization

Move from legacy data environments to modern cloud platforms through structured migration approaches, reusable frameworks, and proven implementation experience.

Build for analytics and AI

Build for analytics and AI

Create governed data foundations that support trusted reporting, advanced analytics, machine learning, and emerging AI use cases.

Improve performance and efficiency

Improve performance and efficiency

Optimize pipelines, compute, orchestration, and platform configurations to improve reliability, manage costs, and keep data environments performing efficiently.

Build lasting internal capability

Build lasting internal capability

Combine implementation expertise with co-development, knowledge transfer, and practical enablement so your teams can confidently manage and extend the environment over time.

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From days of rework to minutes: How Databricks Genie code changed our approach to SQL development