Presented By O'Reilly and Cloudera
Make Data Work
5–7 May, 2015 • London, UK

Strata + Hadoop World in London Is a wrap

Check out the list of upcoming Strata + Hadoop World events around the world.

Conference Information

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Session Comments

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lawrence mercy commented on Architectural considerations for Hadoop applications
Nice explanation, Are You trainer in hadoop? i have interest in takeup training for me? Java Training in Chennai

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Phil Zamani commented on How big data is redefining banking
Hi Are the slides available? thx

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Puneet Lakhanpal commented on Hunting criminals with hybrid analytics, semi-supervised learning, and agent feedback
Hi Claudiu, Thank you for introducing machine learning and nlp. Any change you can upload the ipython notebooks ? Thanks, Puneet

Conference Video Compilation

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

Featured Speakers

What previous attendees have said

A great way to get a survey of the scene and drill down in-depth...the corridor conversations offer plenty of opportunities to make contacts.

–Gordon Banner

It's where you meet people who think and do data science—where U.S. innovation meets Europe's data opportunities.

–Duncan Ross

There's all the techie bits to delight the geek heart, and plenty of eye-opening topics and products.

–Nori Langi

See the Agenda

The Future Belongs to Those Who Use Data

Join us at Strata + Hadoop World in London for 3 intense days as we dig deep into the business of big data.

8 Information-Packed Tracks:

  1. Business & Industry: Hear how businesses like Google, Goldman Sachs, Intel, Ebay, CERN, BBC, and Siemens AG are using data—and how you can benefit from their hard-won experiences—in the expanded Business & Industry track.

  2. Internet of Things: Prepare for one of data’s biggest challenges: dealing with the torrent of data brought about by the IoT.

  3. Hadoop Platform: Dive deep into the dominant big data stack, with practical lessons, integration tricks, and glimpses of the road ahead.

  4. Hadoop & Beyond: Discover the tools beyond Hadoop—such as Cassandra, Storm, Accumulo, Kafka and Spark—and how they fit in the data science toolkit.

  5. Data Science: Master the latest algorithms and advances in machine learning.

  6. Tools & Technology: Learn big data and analytics tools and techniques first-hand from the developers at the cutting edge of data.

  7. Design: Tackle vital design issues like user experience, experimental design, new interfaces, interactivity, and visualization.

  8. Privacy, Law, and Ethics: Gain insight into the thorny issues of privacy, governance, ethics, and compliance.