|||

something that we advise our clients on all the time, and is a major portion that I think takes people by surprise sometimes, is that most organizations is that their default is to treat their data science projects like software engineering projects that they’re currently running at the organization

something that we advise our clients on all the time, and is a major portion that I think takes people by surprise sometimes, is that most organizations is that their default is to treat their data science projects like software engineering projects that they’re currently running at the organization. So if they want their data scientists to be filling out Jira tickets and have Sprints. Not only the data scientists, but data engineering is not a similar task like that either. And the platform architecture too, is similar. They all share something in common. in data science, data engineering, and platform architecture, it’s one of those things where you can spend forever on something and it won’t be done. So, it’s all about, “When do I feel like stopping?” Or, “When do I run out of money?” Rather than, “Okay, this application is done. I’ll ship it, it’s in a box. It’s all good to go. We release it to the world and we sell it. It’s great.” On the data science side it’s hard to tell how long something’s going to take until you do it. So there’s this chicken and egg problem. I can’t write the Jira ticket it’s going to take two weeks, until I actually spend the two weeks to do it, and realize it’s actually going to take four weeks. And so when you try to apply these traditional software engineering project management things on these projects it doesn’t work. It actually causes harm in a lot of cases….there’s actually a new discipline that needs to arise. — https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/
Up Next Next → I agree that in the beginning of the project it’s really good to get everybody in the room due to the amount of communication that needs to happen https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/ ← Previous I’ve actually heard a project manager say, “You know, any line of code that my developers write to audit what they’re doing, to put stuff in a database, is a line of code that they’re not putting in developing the application https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/
Latest posts
▵  Elon Musk attempts to explain Twitter to normal people in court
▵  TED and YouTube launch global climate initiative
▵  Embracing multilingualism to enhance complexity sensitive research
▵  The ‘Amazon effect’ is flooding a struggling recycling system with cardboard
▵  John Kerry, Arnold Schwarzenegger wage ‘World War Zero’ on climate change
▵  Combining semantic and term frequency similarities for text clustering
▵  Bad RCS implementations are creating big vulnerabilities, security researchers claim
▵  2019 Tech Trends Report — The Future Today Institute
▵  Medical Crowdsourcing: Harnessing the “Wisdom of the Crowd” to Solve Medical Mysteries
▵  Report Launch - OPSI Primer on AI for the Public Sector
▵  “Level Up”: Leveraging Skill and Engagement to Maximize Player Gameplay
▵  Beautiful is Good and Good is Reputable: Multiple-Attribute Charity Website Evaluation and Initial Perceptions of Reputation Under the Halo Effect
▵  Piret Tõnurist & Systems Change: how to get started and keep going?
▵  IBM expert Tamreem El Tohamy on bridging the skills gap in Africa
▵  The changing work of innovation for public value and social impact
▵  Former Go champion beaten by DeepMind retires after declaring AI invincible
▵  What part of “viral” content makes platforms want to encourage its spread?
▵  MTA floods NYC subway entrance because ‘climate change is real’
▵  The Demon Haunted World
▵  How to recognize AI snake oil
▵  A Systemic View of Research Impact
▵  Nobel Economics Prize Goes to Pioneers in Reducing Poverty
A brief, informal guide to doing grounded theory
▵  Adam Savage on Lists, More Lists, and the Power of Checkboxes
▵  Systems Practice, Abridged
▵  Fukushima reinvents itself with a $2.7 billion bet on renewables
▵  How Tesla’s first Gigafactory is changing Reno, Nevada
▵  “This is Sticking with Them:” Professor Explores Benefits of Model-Based Learning
Keeping the buzz in buzzwords
▵  README.txt: Introducing Into the Dataverse, the article series
▵  A ton of people received text messages overnight that were originally sent on Valentine’s Day