Book now

Ben Jarvis

An experienced technology professional with an extensive background in a range of IT disciplines combined with delivery and consulting experience spanning various industry verticals.  As Head of Technology, I am motivated by continuous learning and our work with cutting edge cloud solutions for AI and data analytics.  We build innovative technical frameworks, architectures, and solutions for our clients.  Committed to development and delivery of strategy through technology.

Ben Jarvis's Sessions

How to Architect your Data Platform for SuccessSQLBits 2023

In this session we will look to understand the components and patterns that are required to set your data platform up for success when defining a high-level architecture. At a high-level we will cover areas from ingestion through to transformation and serving and look to identify the key components and architectural considerations required at each stage. During the session we’ll cover areas from security to error handling and metadata-driven execution to give you an understanding of the basics required to put a successful data platform solution together. This session is suitable for anybody that has a basic understanding of the components in the Azure data stack who wants to understand how to put them together to build a best-practice solution.

How to Architect your Data Platform for SuccessSQLBits 2023

In this session we will look to understand the components and patterns that are required to set your data platform up for success when defining a high-level architecture. At a high-level we will cover areas from ingestion through to transformation and serving and look to identify the key components and architectural considerations required at each stage. During the session we’ll cover areas from security to error handling and metadata-driven execution to give you an understanding of the basics required to put a successful data platform solution together. This session is suitable for anybody that has a basic understanding of the components in the Azure data stack who wants to understand how to put them together to build a best-practice solution.