If you’re interested in performant operational and analytical data driven software solutions please read on.Today’s cloud-centric approach to data processing means businesses pay for every calculation. Poorly designed or out-of-tune solutions that once ran with blissful ignorance in a business' data-centre suddenly cost substantially more when moved to the cloud.Never has it been more important to design systems with sustainability in mind, whether it’s financial or environmental. If you’re interested in an alternative eco-friendly digital transformation technology comprising 20+ years hands-on experience, visit https://linearbase.com#howto or https://linkedin.com/company/linearbase and try LinearBase for free.If you are still planning developing a data driven software solution using traditional database technologies please read on.Data are the most important but most overlooked aspects of the solution architecture. Data are not a by-product; they are the common denominator behind every touch-point such as user interfaces, reports, dashboards, databases, APIs, code, etc. Data are the Enterprise’s lifeblood and currency, understanding its cost, weight, and shape is key to the success of every project.Architects and developers often discuss software patterns to describe projects. Whilst software patterns are important you rarely get a completely green-field project. The majority of projects interact with existing solutions with pre-defined software patterns and data sources and this is where the skill lies.Rarely discussed but of equal importance is data patterns. No two datasets are the same, understanding the mindset and development style of the often-multiple creators is key to extending or maintaining them; this is where I excel. It is important to avoid the practice of simplifying development by introducing new ‘parallel’ data sources.If you’re looking for ORM skills, such as Entity Framework, you won’t find any. You will find high performance index-optimized conceptual layer stored procedures accessed via gRPC (ideally), WebApi, REST (post), or SqlClient for back-office solutions.Likewise, you won’t find database triggers preferring instead ‘single version of the truth’ datasets and set-theory.The title Full Stack Developer is used today and whilst this is an accurate description of my ability, I favour the older term Analyst Developer as it covers design and development across the Enterprise.Please contact me if you require iterative software development using Microsoft technologies with deployment to data-centres or the cloud.