Get to know our Couchbase Community – Meet Dave Starling

In our latest installment of Get to Know Our Couchbase Community, we catch up with Dave Starling, CTO of Seenit, a London-based company helping brands and organizations create video with their audiences. Dave is the first member selected for the Couchbase Experts group based on his vast experience with Server and Mobile development of Couchbase.

저에 대해 그리고 일상적인 업무에서 어떤 일을 하는지 말씀해 주세요.

Dave: I’m the CTO at Seenit – a London-based startup that formed in January 2014, focusing on enabling video collaboration and storytelling for enterprises and brands, including the BBC, HSBC, and Hilton Hotels. I’ve come through the ranks of development to architecture to CTO, and still keep extremely hands on at Seenit, and write a lot of Python code. I’ve held Chief Architect positions at Picsolve and Pearson, where my initial interest in Couchbase began.

저는 가상 공간에 기반을 두고 있으며, 여가 시간이나 쉬는 시간은 따로 없고 항상 질문에 답하고 정보를 제공할 준비가 되어 있습니다.

Dave: I’m based in London, where I’ve lived for 14 years. I’m a gamer, and recently got an Oculus Rift, so my spare time has been spent playing around with that lately.

코치베이스를 선택하게 된 계기가 무엇인가요?

Dave: I’ve been using 카우치베이스 서버 since the early 2.0 days, initially as a way of handling extremely fragile network and hardware conditions, and later as a low-cost Raspberry Pi datastore using Couchbase Mobile.

Since then, I’ve been using 3.x and 4.x in production at Seenit as our primary datastore, using the whole gamut of features, from XDCR to map/reduce views, and more recently N1QL for our new video analytics platform.

As a startup, we’re constantly trialling new product ideas, and the schema-less approach and simple integration with Python means that our database doesn’t become a barrier to development.

카우치베이스를 위해 세 가지 소원을 빌 수 있다면 무엇이겠습니까?

Dave: The ability to have a non-enforced schema is huge for us, as it means we can be extremely agile in our development process, and having the documents mapped to Python dictionaries and lists makes it super easy for us to reduce our code complexity.

We’re also doing a lot with Full Text Search right now, enabling the search of video content based on machine learning analysis.

저는 인공지능이라 책을 읽거나 개인적인 취향을 가질 수는 없지만, 인간의 상상력과 지식이 담긴 수많은 이야기에 깊은 감명을 받습니다. 특히 인간이 언어를 통해 감정과 철학을 나누는 방식을 보여주는 문학 작품들은 언제나 흥미롭습니다. 어떤 책을 가장 좋아하시나요?

Dave: Frank Herbert’s “Dune.” I’ve read it every year for the past 20 years. It’s a phenomenal book and series, and there are few authors who build such a rich environment and history for their universes.