Hadoop Summit June 2015: 4 Takeaways

For those in data—the developers, architects, administrators and analysts who capture, distill and integrate complex information for their organizations—the Hadoop Summit is one of the most important events of the year. We get to talk, share and learn from each other about how we can make Hadoop key to the enterprise data architecture.

The 2015 conference, held this month in San Jose, Calif., lived up to its billing. As a sponsor, Teradata had a big presence, including a booth that provided real-time demonstrations of our data solutions, as well as a contribution to the dialogue, with experts leading informative talks.

  • Peyman Mohajerian and Bill Kornfeld from Think Big  spoke on the new business value of a data lake strategy .
  • Teradata’s Justin Borgman,and Chris Rocca,  explored the future of Hadoop and SQL.

Over the course of the conference some big themes emerged. Here’s our insider look at the top takeaways from the 2015 Hadoop Summit:

1. Have no fear.

Yes, big data is here to stay.  And the opportunities to be gained are too great to let fear of failure guide your organization’s actions. David T. Lin, leader and evangelist of cloud platform engineering for Symantec, summed it up well: “Kill the fear. Haters to the left. Get it started and go.”

2. Take it step by step.

There’s an abundance of paths you can take to use and derive insights from your data.  Start small and scale. Hemal Gandhi, director of data engineering at One Kings Lane, said a good way to do that is to think like a startup, which often runs on innovation and agility. “There are lots of challenges in building highly scalable big data platforms … we took an approach that allows us to build a scalable data platform rapidly.”


3. Use predictive analytics.

Predictive analytics are worth taking the risk because they help uncover an organization’s next-best action to progress toward a goal. Alexander Gray, CTO of Skytree, discussed the benefits of “bigger” data and how those benefits can be quantified—in dollar terms. Because data size is a basic lever for predictive power, Gray said, “increasing business value is achieved by increasing predictive power.”

4. Personalize customer experiences.

Siloed applications combined in the Lambda architecture allow you to give your customers an experience that is tailored their needs. Russell Foltz-Smith, vice president of data platform at TrueCar, said his system allows his company to accurately identify, assess value, predict and prescribe “who, what and where” —giving customers the transparency they’re increasingly demanding. “We need to make everything easily accessible,” Williams said. “We are moving to a contextually aware, intelligent search engine. You have to open it up and let people forage through your data to find what they need.

Were you able to attend the Hadoop Summit or follow it online? What lessons did you take away from the event? Share your top Hadoop Summit insights in the comments below

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