Scale By The Bay 2018: Jianneng Li Interview

my name is Janelle Lee I work for my name is Janelle Lee I work for workday and I live in Cemetery I am on the prism and on the next team I am on the prism and on the next team that worked their prism analytics team that worked their prism analytics team and we're building a end-to-end solution and we're building a end-to-end solution for customers to build their video for customers to build their video potato pipelines it's going from raw potato pipelines it's going from raw data all the way to prepare data that data all the way to prepare data that you can derive insight from and the you can derive insight from and the interesting thing about this product is interesting thing about this product is you can mingle data that's inside you can mingle data that's inside workday and data outside workday and be workday and data outside workday and be able to use them together to perform the able to use them together to perform the tasks you want to do honestly I like all of them I want to honestly I like all of them I want to learn a little more about functional learn a little more about functional programming so I would go to the programming so I would go to the functional programming talks but functional programming talks but sometimes they get a little more too sometimes they get a little more too technical and in that case I would go to technical and in that case I would go to the Dana ones or the microservices ones the Dana ones or the microservices ones because I think every talk is sharing because I think every talk is sharing something about what the company is something about what the company is doing and they're all valuable I am going to write is hoping to tell I am going to write is hoping to tell everyone that you don't have to be everyone that you don't have to be technical in order to derive insight technical in order to derive insight from data there are plenty of tools out from data there are plenty of tools out there that are already doing things to there that are already doing things to make people's life easier in Mongolia make people's life easier in Mongolia data you don't have to do anything data you don't have to do anything yourself leverage the existing yourself leverage the existing frameworks that stay out there and let frameworks that stay out there and let them do something work for you I've been them do something work for you I've been looking around basically for like a looking around basically for like a survey of all the technologies that are survey of all the technologies that are being used by people to build their data being used by people to build their data pipelines whether it is spark or Apache pipelines whether it is spark or Apache being data flow flink being data flow flink Samsa basically trying to get a sense of Samsa basically trying to get a sense of what people are saying about these of what people are saying about these of these different technologies and these different technologies and possibly use them in our day-to-day work possibly use them in our day-to-day work as well are you a scholar at work everyday I are you a scholar at work everyday I like the language I like this like the language I like this flexibility where you can be functional flexibility where you can be functional if you want but when you need to do more if you want but when you need to do more imperative things you can drop down to imperative things you can drop down to use those features as well so I think is use those features as well so I think is a very good balance between performance a very good balance between performance and also good styling and I think I will and also good styling and I think I will see myself using that in the years going see myself using that in the years going forward as well I've been loving the panelists I've been loving the panelists discussions because seems like it discussions because seems like it already have a script and they would already have a script and they would just sometimes have opposing ideologies just sometimes have opposing ideologies then I would throw jabs at each other then I would throw jabs at each other and it's been entertaining to see them and it's been entertaining to see them bring up both the good and bad parts of bring up both the good and bad parts of functional programming and sometimes functional programming and sometimes even imperative programming and just even imperative programming and just have people talking candidly about have people talking candidly about what's good about and what it's still what's good about and what it's still need to work on you