Data events and conferences
By Chris Bongard
27th July 2016

Any of you that follow the KDR blog know we love learning new things and developing our industry knowledge, one way we love doing this is through events and conferences. The KDR team have attended plenty throughout the year already and are sure to be at more soon.

With it being the summer holidays the UKs industry events and conferences scene is a little quiet but there are plenty across the world for those jetsetters.

Took a look below for top data events and conferences in August:

Big Data Conference 2016

29th August – 1st September 2016

Boston, USA

Hosted by Hewlett Packard Enterprises this conference brings together leading big data experts to discuss big data and analytics. Through keynote speakers and peer discussions you are sure to come away feeling like you have learnt something new.

Can’t make it? Follow #HPEBigData to keep up to date with the latest trends.

4th Annual Global Big Data Conference

30th August – 1st September 2016

California, USA

Learn about emerging technologies and techniques from some of the top industry thought leaders in the 4th annual conference. This conference is host to plenty of in-depth workshops and speaker tracks.

Can’t make it? Follow bigdataconf throughout the conference.

Hadoop Summit 2016

31st August – 1st September 2016

Melbourne, Australia

The 2016 Hadoop Summit is for business and technical leaders alike. The event focuses on how these two can work together to drive and transform big data. Speakers include those from Yahoo and Oracle.

Can’t make it? Follow #HS16Melb to keep an eye of the summit.

More industry events:

Big Data & Analytics Innovation Summit

3rd – 4th August 2016

Shenzhen, China / Kuala Lumpur, Malaysia

Keep an eye on #DataAsia to find out what is going on over the 2 days.

Strata + Hadoop World

4th – 5th August 2016

Beijing, China

Follow Strataconf on the day to keep up the latest trends. 

Have we missed any industry events or conferences? Let us know in the comments below.

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