END-OF-WEEK DATA READS (9/14/2019)

It’s that time of the week again. Enjoy the early Fall weather. And when you’re bored or want to stretch your mind, check out these data reads.


  • Interesting Data Papers (GitHub)
  • What happened to Hadoop (Architecht)
  • Refactoring to Amazon DynamoDB (AWS Blog)
  • Working with Qubole to tackle the challenges of machine learning at an enterprise scale (Google Cloud Blog)
  • Apache Druid helps Zeotap Master Multi-Channel Attribution at Scale (Imply.io)
  • What’s next for the popular programming language R? (Quartz)

END-OF-WEEK DATA READS (9/7/2019)

It’s the weekend. And it’s basically Fall. Enjoy the cooler temps and these awesome data/tech reads.


  • The Next Hot Job: Pretending to Be a Robot (WSJ)
  • Serverless on GCP (Brave New Geek)
  • The Anthropologist of Artificial Intelligence (Quanta)
  • Time to shed Python 2 (National Cyber Security Centre)
  • Cutting down over 95% of your BigQuery costs using File Loads (Medium)
  • A Breakthrough for A.I. Technology: Passing an 8th-Grade Science Test (NYTimes)

END-OF-WEEK DATA READS (8/17/2019)

You know the drill. Coffee + these data/technology articles = a good weekend.


  • Why it’s perfectly fine not to pursue the AI hype (Medium)
  • AI Startup Boom Raises Questions of Exaggerated Tech Savvy (WSJ)
  • Good Database Design Starts Here (Toward Data Science)
  • AWS Lake Formation – Now Generally Available (AWS Blog)
  • Is Python Strangling R to Death? (DataNami)
  • DeepMind’s Losses and the Future of Artificial Intelligence (Wired)