Data Analytics Consulting Services | Databricks Consulting Services

Databricks consulting services

Pythian offers Databricks consulting services that provide expert guidance and implementation support for data engineering, data science, and machine learning initiatives on the Databricks Lakehouse Platform. Our services cover a wide range of areas, including strategy and assessment, data pipeline development, platform migration, cloud integration, and ongoing operations and optimization. By leveraging Pythian's expertise, organizations can accelerate project delivery, enhance their capabilities with specialized skills, and achieve optimized results from their data and AI initiatives. Ultimately, our services help businesses become data-driven, unlock value from their data, and make faster, more informed decisions with a stronger return on investment.

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What’s included in Pythian’s Databricks consulting service?

Get the guidance and implementation support you need

Pythian offers comprehensive Databricks consulting services across platform and architecture, data engineering and AI, and optimization and strategy. Our services include designing scalable Lakehouse architectures, building robust data pipelines, integrating machine learning, optimizing performance and cost, and providing ongoing managed support.

Platform and architecture support

This includes designing scalable Databricks Lakehouse architectures, setting up infrastructure, migrating from other platforms to Databricks, implementing data governance frameworks (including Unity Catalog), and providing 24/7 managed services with monitoring and optimization.

Data engineering and AI guidance

This covers designing and building robust data pipelines (including real-time streaming), developing ETL/ELT solutions using tools like Delta Live Tables, integrating machine learning models, and orchestrating complex data workflows.

Optimization and strategy

Our services focus on performance tuning for Spark applications, cost management through resource rightsizing and efficient scheduling, strategic planning for data initiatives, and performing health checks to ensure optimal platform operation.

Ongoing guidance and support

Pythian offers general Databricks consulting that encompasses platform architecture design, data pipeline development, migration, optimization for performance and cost, implementation of data governance, machine learning and AI integration, and ongoing managed support.

Reduce costs by adding a data lake to your cloud data warehouse

When it comes to data warehouse modernization, we’re big fans of moving to the cloud. The cloud brings unprecedented flexibility that allows you to easily accommodate the growing velocity, variety, volume, veracity and value of today’s data.

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The value in our Databricks consulting services

Get more from your use of Databricks

Pythian's Databricks consulting services offer accelerated delivery, enhanced capabilities, and optimized results by leveraging specialized skills, mitigating risks, and ensuring best practices. We focus on improved collaboration, scalable architecture, cost optimization, real-time insights, and provide post-implementation support and training for maximum platform utilization.

Accelerated delivery and enhanced capabilities

Speed up project timelines, deploy data platforms faster, and leverage specialized skills for rapid innovation with AI/ML, without needing to hire additional long-term resources.

Optimized results and reduced risk

Improve the quality and effectiveness of data and AI initiatives, from data engineering to business analytics, while mitigating project risks, avoiding common pitfalls, and ensuring solutions are built on best practices.

Improved collaboration and scalable architecture

Unify data, reduce silos, and implement unified governance to foster better team collaboration and simplify compliance. Design and implement scalable and efficient data architectures, optimizing clusters and data pipelines.

Cost optimization and real-time insights with training

Optimize infrastructure costs, ensure efficient solutions, and implement streaming technology for real-time dashboards and alerts. Our services include post-implementation support and training to maximize platform utilization.

“From day one, Pythian was an extension of my team. They weren’t a third-party; they were a group of teammates just as intent on project success as the Schnucks employees.”

Tom Henry

Chief Data & Deputy Chief Information Officer, Schnucks

Reduce costs with a data lake

While there are many ways to incorporate cost considerations into a design, one way is to use a data lake with your data warehouse.

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Fresno Unified drives data strategy forward with AI workshop

Fresno Unified's existing data environment, including the under-utilized Databricks instance and data silos, prevented them from effectively leveraging AI for the operational efficiencies they initially sought.

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Where to process data in a modern data platform?

Data warehouse or data lake? We break down the pros and cons for each.

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Frequently asked questions (FAQ) about Databricks consulting services

Databricks consulting services provide expert guidance and implementation support for organizations leveraging the Databricks Lakehouse Platform across data engineering, data science, and machine learning initiatives. Our services cover everything from strategy and architecture design to data pipeline development, platform migration, and ongoing optimization for performance and cost. Ultimately, we help businesses become data-driven, unlock value from their data, and accelerate project delivery for faster, more informed decisions.

A Databricks consultant guides organizations in leveraging the Databricks Lakehouse Platform for data engineering, science, and machine learning. We assist with strategy, architecture, pipeline development, migration, and optimization to help businesses become data-driven, unlock data value, and accelerate project delivery.

Databricks consulting services help organizations overcome challenges in data engineering, data science, and machine learning by providing expert guidance on strategy, architecture, and implementation. We address issues like inefficient data pipelines, difficulties in migrating to new platforms, and the complexities of deploying AI/ML models at scale. Our services enable businesses to unlock value from their data, accelerate project delivery, and make more informed decisions by establishing robust, optimized, and scalable data solutions.

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