Awesome CI/CD Data Pipelines for Distributed Data-Sources
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The foundational principle of microservices is to segregate functionality into abstracted units. What if you want to empower your business with self-service access to almost every data source?
Bringing data together after painstakingly designing separation is counter-intuitive. Would you even have any of the benefits of a micro-service architecture anymore if you have one big fat database with all your data in it?
Chris will explain how, at Landbay, we maintain totally different data stores and built an awesome downstream data-warehouse reporting solution with a robust data pipeline. He will cover the Dos & Don’t as he talks through the evolution of the data pipeline architecture, touching on many technologies as he goes, from Redshift, Glue & Apache Spark to Stitch, dbt, Great Expectations & binlogs on the cloud.
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Awesome CI/CD Data Pipelines for Distributed Data-Sources
Chris Burrell
Chris joined Landbay, a peer-to-peer fin-tech start up as the lead software engineer and then Head of Technology. With 10+ years’ of commercial experience, he designed, developed and continues to deliver the microservice architecture that was built from the ground-up to 50+ microservices. Prior to working with Landbay, his most recent roles involved helping architect and develop some of the largest UK customer-facing platforms in the UK, such as the EE online shop, Three, The AA, Vodafone, etc. Outside of his work life, Chris develops some open-source Bible study software.