How is open source transforming big data analytics?

How is open source transforming big data analytics?


Open source never quits, penetrating and transforming established data, analytics and application ecosystems as a standout disruptor. In this episode of the Open for Data podcast, recorded at IBM InterConnect 2016, Adrian Bowles, an executive analyst with RTInsights, describes how open source initiatives are transforming big data analytics. Listen to Adrian answer the following questions:

  • How do you define big data analytics?
  • What is the most important open source initiative in big data analytics?
  • What will the big data analytics landscape of 2020 look like?
  • You’ve discussed the trend toward “easy access to big data” and “easy to use analytics tools”—where along the maturity curve is the industry right now?

What did IBM InterConnect 2016 bring to your big data analytics perspective?