Hadoop’s new role: Adjunct data warehouse – article from GigaOm.
There are two main ways that Hadoop is currently being used within the enterprise:
- as a data lake – a place to drop all your data on the way to somewhere else
- a data warehouse – feeding data to analysts and report consumers
Here’s what you missed at Gigaom’s ‘Future of AI’ meetup zite.to/1yntFXG
Twitter details how new home-grown system called TSAR (TimeSeries AggregatoR) coordinates data analytics. Here’s the GigaOm article.
Here are the videos from the Giga Om Big Data Conference that just concluded in New York. One of the talks featured Greenplum founder Luke Lonergan. And here’s another talking about Open Source’s role in big data.
I’m interested to hear how this conference compared to the O’Reilly Strata Conference.
GigaOm is putting on the Structure Big Data Conference next week in New York. Check out the schedule, lineup of speakers, and their list of 5 reasons to attend.
IBM and Revolution Analytics have integrated R with Netezza. Check out the GigaOm recap.
As the Open Source software movement continues the strengthen, questions abound about where the opportunities to create commercially viable solutions. Red Hat did it with Linux. Can Cloudera do it with Hadoop? Read this GigaOm article.
In an effort to increase user engagement, satisfaction, and profitability, many websites are offering their users various types of recommendations. Many people are familiar with Amazon.com’s people who bought also bought or people who browsed also browsed. But how do they do that?
Darren Vengroff, chief scientist from RichRelevance, explains some of the components of a recommendation system in a GigaOM article.
GigaOM posted an article claiming that we are in the midst of a data mining renaissance. Sounds good to me.