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Platform Engineering

Building the modern data platform, from architecture to deployment.

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Platform Engineering Services

Patterson Consulting platform engineering teams help you build out data pipelines and generative AI capabilities. We specializing in constructing modern data stacks that for data collection, transformation, and publication.

Our platform engineering team operates on all 3 major clouds:

  • MS Azure
  • AWS
  • GCP

We also work on major data warehouse platforms:

  • SQL Server / RDBMS
  • PowerBI / analytics
  • Snowflake
  • AWS Redshift
  • Google BigQuery
  • Cube / semantic layer

In industries such as Insurance, we help companies with data integration between their policy system and their finance systems as well. Technologies include:

  • Pega
  • Sapiens
  • SAP

Architecture Review

Great data platforms help forward looking companies grow their business faster than their competitors, and our architecture review offering is key to helping build great data platforms. The Patterson Consulting team will review your core business, document the KPIs needed to drive the business forward, and design an architecture to meet those business KPIs

Business and Data Strategy Review

We work with companies to understand how they specifically need to handle the core data that drives growth in their business. From that we work with you to document the best way to use data to sustain and grow your business.

Information Architecture

Information architecture is the process that lays out how to organize your data in a way that your data platform can access and deliver it efficiently. We can help you understand where your core data is going, how to manage it internally, and how to optimize the processing of the data to improve downstream analytics and data usage.

Cloud DevOps

Our team of experienced platform engineers can help you deploy the data platform in the cloud that will support your core business. We work with all major clouds to operate data platforms efficiently while being cost-conscious.

Data Migrations

We can help move your data from one platform or cloud to another with our data migration offering.

The Value of Platform Engineering

Great platform architecture and engineering is a competitive advantage to all business today because if we cannot scale our business better than "linearly adding more people as we add business", then our data platform is not doing its job.

Great data platforms help forward looking companies grow their business faster than their competitors, and at Patterson Consulting we deliver those data platforms.

Why Use Our Platform Engineering Team?

Nearly all business today is dependant on data. To do better than a manual process for most businesses, you need a platform that your organization trusts to deliver correct data and deliver the data in a timeframe that is relevant to the business process.

Patterson Consulting helps you accelerate your business by using a classical business analysis combined with expert platform engineering architecture. This means that Patterson Consulting gets to know the core key indicators that drive your business and then architects a data platform that focuses on these key indicators as a measure of success.

This means that at Patterson Consulting we don't do platform architecture for the sake of more technology -- we design data platforms that improve your line of business.

If you are an organization that resorts to manual processes across the company because your teams don't trust the data from your data platform, then you can use our services.

Common Questions About our Engagement Process

Here are some of the commons questions asked.

The Patterson Consulting "Architecture Review" offering is the best way to get started. The deliverable is a report explaining the current state of your data strategy and data platfrom, and how they currently perform. We also measure how the data platform is affecting the line of business. We then work with your engineering team to understand the skills of your existing team, and preferred cloud technologies, before recommending a specific new 'evolved' architecture that will improve the key business indictors of the current platform. This offering costs between $35k to 50k, depending on the scope of the engagement.

Yes, we offer architecture and process review on technologies such as Kerberos, Active Directory, Network design and security, and internal security policy review. Some of our past customers leveraging our security practice have been financial companies in the F100.

Yes, we have teams of platform engineers that can configure and deploy platform components in the cloud securely. We also provide cloud migration offerings as well.

Our latest blog resources

Articles on platform engineering and generative AI from the Patterson Consulting team

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Data Modeling Healthcare Data with DBT

In this post we’ll build our first DBT pipeline to summarize patient history data for downstream data engineers.

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Loading the Credit Card Transaction Data Into Snowflake

In this blog post series we will demonstrate how to build a credit card fraud detection system on realistic data.

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What is Data Engineering?

Our article where we lay out clear definitions for data engineering.

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Let's talk about your data platform.

Patterson Consutling platform engineering teams help you architect and deploy data platforms that drive the business and support generative AI capabilities. We specializing in constructing modern data platforms that focus on ensure data correctness and generating analytical results as quickly as possible.

Talk to our experts