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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Thanks to our sponsors
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.
Please log in to watch this conference skillscast.
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.
YOU MAY ALSO LIKE:
- Lightning Talk: CDC testing is dead – Long Live Swagger! (SkillsCast recorded in November 2017)
- Fast Track to Chaos Engineering with Russ Miles (in London on 1st - 3rd July 2019)
- Fast Track to Machine Learning with Louis Dorard (in London on 15th - 17th July 2019)
- Infiniteconf 2019 - A one-day community celebration of Big Data, Machine Learning and AI (in London on 4th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Keynote Evening with Russ Miles (in London on 1st July 2019)
- Cloud Native July (in London on 3rd July 2019)
- Using Watson to talk to traditional systems without breaking the bank! (SkillsCast recorded in June 2019)
- Achieve 100% Analytics Adoption with a New Class of Enterprise Intelligence (SkillsCast recorded in June 2019)
Thanks to our sponsors
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.