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“Ideas for data products tend to start simple and become complex; if they start complex, they become impossible.”
― Data Jujitsu: The Art of Turning Data into Product
― Data Jujitsu: The Art of Turning Data into Product
“Facebook decided to invest in Hive, a SQL-like language that would be more optimal for Hadoop, and a unique tooling layer called HiPal that would be the primary GUI for Hive. HiPal allowed any user to see what others in the company were accessing. This unique form of transparency allowed a new user to get up to speed quickly by studying what other people on the team were requesting and then building on it.”
― Data Driven
― Data Driven
“Smart data scientists don’t just solve big, hard problems; they also have an instinct for making big problems small.”
― Data Jujitsu: The Art of Turning Data into Product
― Data Jujitsu: The Art of Turning Data into Product
“You can give your data product a better chance of success by carefully setting the users’ expectations.”
― Data Jujitsu: The Art of Turning Data into Product
― Data Jujitsu: The Art of Turning Data into Product
“Start with data. Develop intuitions about the data and the questions it can answer. Formulate your question. Leverage your current data to better understand if it is the right question to ask. If not, iterate until you have a testable hypothesis. Create a framework where you can run tests/experiments. Analyze the results to draw insights about the question.”
― Data Driven
― Data Driven
“There is no greater insult than “You’ve created an elegant solution to an irrelevant problem.”
― Data Driven
― Data Driven
“Data Jujitsu: the art of using multiple data elements in clever ways to solve iterative problems that, when combined, solve a data problem that might otherwise be intractable.”
― Data Jujitsu: The Art of Turning Data into Product
― Data Jujitsu: The Art of Turning Data into Product
“You’re unlikely to create a data product that is reliable and that performs reasonably well if the product team doesn’t incorporate operations from the start. This isn’t a simple matter of pushing the prototype from your laptop to a server farm.”
― Building Data Science Teams
― Building Data Science Teams




