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Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Strata + Hadoop World 2016 in London is a wrap

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Session Comments

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commented on Applications of natural language understanding: Tools and technologies
In my research paper, I build a NLTK sentiment engine using Lexicon methods, I can honestly say that there is not one specific Algorithm that makes one’s AI better than the next. AI is an ongoing evolving process, if you... Read More.

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Richard Veitch commented on Developing a modern enterprise data strategy
Hello, I have tried on multiple occasions (as has my colleague) to get the presentation slides for this session but failed. When submitting the email address via svds.com a note promising to send a confirmation email is made but then... Read More.

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Sivakumar Rajarethinam commented on The business bottom line of data lakes: Real-life experiences
Is it possible to get the presentation spoken in the conference?

Video Compilation

Tutorials, sessions, and keynotes were recorded and the video compilation is now available for purchase.

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Strata + Hadoop World in London 2016

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Strata + Hadoop World: Make big data work

Strata + Hadoop World is the leading event focusing on how data, machine learning, and analytics are changing not only business, but society itself. The best data scientists, analysts, and executives from innovative companies of all sizes gather at Strata + Hadoop World conferences around the world to share deep, hard-won knowledge.

Join us at Strata + Hadoop World in London to explore compelling data case studies, proven best practices, and effective new analytic approaches around:

  • Data-driven business
  • Data innovations
  • Data science & advanced analytics
  • Enterprise adoption
  • Hadoop use cases
  • Hadoop internals & development
  • Internet of things & real-time data
  • Law, ethics, governance
  • Security
  • Spark & beyond
  • Visualization & user experience

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Big Data training courses

Immerse yourself in two days of in-depth education on critical topics. Each training takes place 31 May - 1 June. Class size is limited to maintain a high level of learning and instructor interaction.

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