News and Info

  • Pounded by Paula at Strata + Hadoop World

    Thursday, April 7, 2016 - 08:45
    Our #1 session at Strata? Paula Poundstone's tech takedown and rip on the Data Science crowd. Read on. [more]
  • Web-Scraping for Data Science – Part 1

    Wednesday, April 6, 2016 - 13:15
    Scraping data from the web is a task that’s essential to the data scientist’s hacking portfolio. The complexity of work ranges from sophisticated crawling that mandates understanding the structure of dynamic web pages along with command of css and/or xpath, to the more mundane “just grabbing a table of static data”. I’m into both, loving libraries like beautifulsoup for serious python crawling, but at the same time demanding simple tools for quick and dirty work... [more]
  • Inquidia Reflex: Standards and Best Practices for Pentaho Data Integration

    Wednesday, April 6, 2016 - 11:15
    Like Pentaho? See what we've built for development standards with our decade of Pentaho Data Integration experience. [more]
  • Computing Power To The People: Citizen Data Scientists Lead the Grassroots Changes in Modern Analytics

    Wednesday, April 6, 2016 - 07:00
    What's behind the invigoration of the citizen data scientist and modern grassroots analytics? Read on! [more]
  • Lessons From Strata Tuesday

    Wednesday, March 30, 2016 - 08:15
    This year I decided to do an all-day, hands-on session tutorial Tuesday, the choices a tough call between PyData and R. [more]
  • Developers vs Data Scientists - Different Approaches to a Common Goal

    Wednesday, March 9, 2016 - 14:45
    Over the last six months, The Enterprise Analytics team has grudgingly learned to appreciate uncertainty, randomness, and absence of signal. [more]
  • An Interview with Steve Miller, Co-Founder and President of Inquidia Consulting

    Tuesday, March 8, 2016 - 14:30
    A foundational competency of Inquidia is designing and building analytics data infrastructures for our customers. [more]
  • The Road to Visual Data Discovery: Intuition and the User Experience

    Tuesday, March 8, 2016 - 07:00
    In our previous Blog, we’ve discussed how organizations are shifting away from centrally controlled analytic semantics towards user-defined semantics, as part of the rise of Enterprise Analytics . Enterprise Analytics is enabling analysts and business users to use flexible self-service platforms and techniques within a centralized data management structure. Gone are the days of “EDW or the highway”. Governed data discovery is the way forward. This shift from Enterprise BI to Enterprise Analytics is supported... [more]
  • The Pursuit of Analytics: Zeno's Data Management Strategy

    Tuesday, March 1, 2016 - 09:15
    Enterprise BI is undergoing a fundamental shift. The conventional, IT-driven, centralized analytics and reporting platform is giving way to a variety of self-service analytics technologies featuring the ideas and enthusiasm of business analysts and data scientists. This new analytics philosophy promotes increased data awareness and accelerated data driven decision making across the Enterprise. We believe this shift is the rise of Enterprise Analytics . One of the trends supporting the transition from Enterprise BI to... [more]
  • The Evolution of Python for Data Science

    Friday, February 26, 2016 - 12:30
    I’ve been programming in Python for almost 15 years. There’s plenty of goodies for free from the Python community. Life’s good. [more]


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