Use 7 simple questions to find machine learning opportunities, even without any technical knowledge (Photo by Markus Spiske, Unsplash) Machine learning, AI, Data Science all carry lots of scary and complicated concepts like deep neural networks, cross-entropy, optimization…. Enough scary words to scare off any product manager but the really tech-savvy from even thinking about integrating machine learning into their products at all. But that, in turn, makes it hard for a company to get all the value out of their machine learning engineers if most product managers shy away from employing them. I like to use a dead simple […]
#1 LinkedIn, PYMK, Machine Learning and Full Stack Teams
In 2006, the company LinkedIn launched a new feature called “People You May Know”. This “prompt” turned out to have 30% higher click through rates than any other prompt in use at LinkedIn. It created millions of additional views and connections. The team also went on to create a bunch of additional machine learning products and helped to foster a deeply data-driven culture at LinkedIn. In their journey LinkedIn uncovered two important principles. The first principle is well explained by DJ Patil: “After all, what is a social network if not a huge dataset of users with connections […]
What BI Tools Can Do — The Six Different BI Artifacts You Should Know
Dashboards, Graphs, Reports, Spreadsheets, OLAP Cubes, or direct SQL Access?
There’s More Than One Kind of Data Mesh — Three Types of Data Meshes
Data Meshes are the hot & trending topic in data & analytics departments. Implemented at big companies like Zalando, and moved from the “Trial” to the “Assess” status of the ThoughtWorks Technology Radar, within just one year. Yet the results I’ve seen are not overly impressive. Quite a few articles raising concerns have appeared throughout the past year, and at least I have gotten quite a bit of question & confusion about the topic after publishing my first article about data meshes.
There’s More Than One Kind of Data Mesh — Three Types of Data Meshes
Opinion On Redshifts, Data Catalogs, Query Engines like Presto, and the troubles of machine learning engineers to get their data. Image by the author. The author, confused between lots of different data mesh architectures. Data Meshes are the hot & trending topic in data & analytics departments. Implemented at big companies like Zalando, and moved from the “Trial” to the “Assess” status of the ThoughtWorks Technology Radar, within just one year. Yet the results I’ve seen are not overly impressive. Quite a few articles raising concerns have appeared throughout the past year, and at least I have gotten quite a bit […]
Three Surprising Books Every Data Guy Should Read…; ThDPTh #2
Refactoring, Working effectively with Legacy Code, and Test-Driven Development for Data Guys. …on software engineering. Hi, I’m Sven. I think data will power every piece of our existence in the near future. I collect “Data Points” to help understand this near future. If you want to support this, please share it on Twitter, LinkedIn, or Facebook. Here are your weekly three data points: Refactoring, Working effectively with Legacy Code, and Test-Driven Development. Why three software engineering books for data guys? Because I believe every data team should be treated as an agile development team. 1 Refactoring by Martin Fowler Whenever I take […]
Simple Data Discovery, Modern Data Architectures & Data Meshes; ThDPTh #1
Hi, I’m Sven Balnojan. I think data will power every piece of our existence in the near future. I collect “Data Points” to help understand this near future. If you want to support this, please share it on Twitter, LinkedIn, or Facebook. Here are your weekly three data points: Simple Data Discovery, Modern Data Architectures & Data Meshes. 1 Whale, a Dead Simple Data Discovery Tool “What does this column mean? Where can I find the order data?” Questions that bug every data engineer, every machine learner, and every analyst every day. There are a lot of powerhouse tools to […]