Scale By The Bay 2018: Adelbert Chang Interview

my name is Adelbert Chang I am a lead my name is Adelbert Chang I am a lead data engineer at target base out of data engineer at target base out of Sunnyvale California so my team is Sunnyvale California so my team is called data science an optimization team called data science an optimization team and we are tasked with anything that and we are tasked with anything that target needs to optimize currently we're target needs to optimize currently we're focused primarily on supply chain focused primarily on supply chain optimization both what the fuels optimization both what the fuels chemicals first middle and last mile I chemicals first middle and last mile I have about I've been into functional have about I've been into functional programming a rabbit hole for the past programming a rabbit hole for the past six or seven years so I probably have a six or seven years so I probably have a bias towards a programming one before bias towards a programming one before the past year or two up and any more and the past year or two up and any more and more to system to architects yourself so more to system to architects yourself so it's really great that this conference it's really great that this conference serves both of my interests so I'm gonna be talking about Nelson so I'm gonna be talking about Nelson which is a automated deployment system which is a automated deployment system that Tim paired and I have been working that Tim paired and I have been working on for the past year he's actually been on for the past year he's actually been working on it for a couple years more so working on it for a couple years more so I'm really excited about that because I I'm really excited about that because I think it's one of the few solutions I've think it's one of the few solutions I've seen that makes deployment not scary and seen that makes deployment not scary and I hope people come away on the talk I hope people come away on the talk curious to learn more about it so curious to learn more about it so because I myself am working on because I myself am working on deployment system I can often sort of deployment system I can often sort of have a very narrow view of what my world have a very narrow view of what my world looks like or what Tim's will Tim's looks like or what Tim's will Tim's world looks like so I'd definitely be world looks like so I'd definitely be interested in hearing about how other interested in hearing about how other people are doing deployments how other people are doing deployments how other people doing tooling automation people doing tooling automation infrastructure and stuff like that so scholar was my first foray into so scholar was my first foray into functional programming i came mostly functional programming i came mostly from a Python C++ background so I from a Python C++ background so I started Scala about six years ago and started Scala about six years ago and from there that's where I sort of went from there that's where I sort of went down to functional programming down to functional programming rabbit-hole so six years later I still rabbit-hole so six years later I still write Scala so Nelson is actually write Scala so Nelson is actually written in Scala and I still find written in Scala and I still find functional programming to be the best functional programming to be the best way to write programs and I'm looking way to write programs and I'm looking forward to see it catch on more more in forward to see it catch on more more in the next 15 years one of my favorite parts of sale by one of my favorite parts of sale by today is a hallway track or what people today is a hallway track or what people call the hallway track where it's people call the hallway track where it's people just sort of hanging out in the hallways just sort of hanging out in the hallways everyone chats I guess to know each everyone chats I guess to know each other to learn new things and I think other to learn new things and I think it's a really nice time and place to it's a really nice time and place to chat with people that's sort of more chat with people that's sort of more personal intimate than maybe just online personal intimate than maybe just online or a book or Twitter or something like or a book or Twitter or something like that you