Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Big Data Anti-patterns Presentation From JavaOne

DZone's Guide to

Big Data Anti-patterns Presentation From JavaOne

A presentation of avoiding big data antipatterns, courtesy of MVB Alex Holmes from JavaOne.

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

Today I presented on big data anti-patterns to an audience at JavaOne. It was live-streamed (no pressure Alex) and I’m hoping the video will be publicly available shortly; if so I’ll update this post with a link.

The presentation covered seven anti-patterns ranging from fairly high-level ones (such as “you don’t have big data”) to ones that were more in the weeds (approximate counting), and covering tools such as Hadoop, Cassandra and Kafka.

Thanks to everyone who attended - I had a lot of fun presenting, and I’m looking forward to giving more talks in the future.

Here’s a link to the slides of the talk:

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

Topics:
big data ,java

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}