Is Julia the Future for Big Data Analytics?
Please log in to watch this conference skillscast.
Julia was originally seen as a replacement for programming languages such as Matlab when tackling problems in the scientific domain. In the world of Big Data, Python and R are currently seen to be stand supreme. However the growth of data over the next five years, both structured and unstructured, will present a variety of new challenges and this talk discusses some of the features peculiar to Julia: posing the question whether it is destined to become a natural fit for the data science analytics in the near future.
YOU MAY ALSO LIKE:
- Gojko Adzic's Impact Mapping Workshop (in London on 27th September 2017)
- Uncle Bob's Advanced TDD (in London on 30th - 31st October 2017)
- Uncle Bob's Clean Code: Agile Software Craftsmanship (in London on 1st - 3rd November 2017)
- Agile Testing & BDD eXchange 2017 (in London on 9th - 10th November 2017)
Thanks to our sponsors
Is Julia the Future for Big Data Analytics?
Malcolm Sherrington
Dr. Malcolm Sherrington has been involved in provision of I.T. systems for over 30 years, working on a wide range of projects in Aerospace, Healthcare and Finance, as well as teaching at universities in London and Brighton. He is the author of a book on "Mastering Julia", the founder and organiser of the London Julia Users meetup group.