Platform Engineering
Migration to Databricks
Expert platform engineering to move your legacy platform to a modern Databricks cloud data warehouse.
Talk to our expertsExpert migrations from your legacy system to the data lakehouse
Great Architecture by a Great Team
Modernizing a data platform is not an easy process and you should trust the architecture of your next-generation data platform to a team that has the track record of success on some of the most complex platforms in the Global 2000.
The Patterson Consulting engineering team has engineers who were early Cloudera employees and have worked on some of the biggest Hadoop and traditional data warehouses in the world. The team has experience building distributed systems for major power grid organizations, major chip manufacturers, 2 world telecoms, and 5 of the largest banks in the world.
The Patterson Consulting team has also authored multiple O'Reilly books on data and platforms, along with peer-reviewed academic papers in distributed systems. This is the team you can trust to migrate your legacy data platform to the a modern Databricks data lakehouse.
In the information age, your data platform is your competitive advantage.
You want the best team possible to modernize your legacy platform in a way that best fits your specific business. And that means you want Patterson Consulting to migrate your legacy platform to a modern data lakehouse architecture.
Architectural Approach
During the architecture review phase we focus on understanding your core knowledge work and how this ties into your legacy data warehouse. We further specialize in deep architectural background of Legacy On-Premise Hadoop systems (Cloudera, Horton, MapR) to better design your next-generation data lakehouse.
Experience Drives Efficiency
Our deep background in complex distributed systems allow us to better migrate orchestration, resource management, identity management, and information architecture systems to the Databricks data lakehouse architecture. An experienced team with a proven track record can be the difference in delivering that data platform that makes your business more competitive.
Advanced Cloud DevOps
Our team of experienced platform engineers can help you deploy your Databricks lakehouse platform in the cloud that will support your core business. We work with all major clouds platforms (AWS, Azure, GCP) to operate data platforms efficiently while being cost-conscious.
Migrations to Databricks Resources
Some materialials to help you better understand and plan your migration to Databricks.
Hadoop to Databricks Migration Guide
Overview of Hadoop and what you need to consider in your migration journey.
Hadoop Information Architecture Migration
A guide on transitioning your information architecture from HDFS to cloud blob storage.
Hadoop to Databricks Data Pipeline Migration
A guide on transitioning legacy Hadoop data pipelines to Databricks technologies.
Our latest blog resources
Articles on platform engineering and generative AI from the Patterson Consulting team
Building a Property Insurance Claims Data Lakehouse with Airflow and Databricks
In this article we build a data lakehouse for property insurance claims management. This allows us to build out a complete claims analysis platform complete with standardized data modeling.
Read
Building a Standard Claims Data Model With the Cube Semantic Layer and Databricks
Creating standard claims data models for claims knowledge work in property insurance companies.
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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.
ReadLet'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