"strataconf" entries
Big data is helping EA level up
Electronic Arts CTO Rajat Taneja on big data's growing role in the video game world.
Electronic Arts (EA) isn’t the first company that comes to mind when you think of big data. Yet the gaming company is collecting increasing amounts of data about its online players, and as this data accumulates and gains steam, it falls under the big data category.
If a game maker like EA is considered a big data company, it could have implications for other companies we might not think of as typical big data generators. With that in mind, I got in touch with Rajat Taneja, chief technology officer at EA and a keynote speaker at the upcoming Strata Conference in California. Since Taneja came on board with EA in 2011, he’s helped steer the company’s technological initiatives, including understanding the impact this growing data store will have on the firm — both from a processing standpoint and how to use it to provide games and services customers want most. He says no matter what your company does, if you have constantly connected online services, you are very likely going to be dealing with lots of data.
Our interview follows. Read more…
The future of MongoDB
Steve Francia on alternatives to Hadoop and what lies ahead for MongoDB.
Steve Francia (@ spf13) is an O’Reilly author and chief evangelist at 10gen.
Steve and I sat down during the Strata + Hadoop World conference in New York last month to talk about what he’s most excited about nowadays. He focused on alternatives to Hadoop, what we can expect to see next from MongoDB, and the future of big data.
Highlights from the conversation include:
- Discover alternatives to Hadoop. [Discussed 18 seconds in].
- The new features in MongoDB 2.2. [Discussed at the 1:23 mark].
- How being an open source company helps 10gen connect with its users. [Discussed at the 3:09 mark].
- Long-term goals for MongoDB. [Discussed at the 5:10 mark].
- New technologies are enabling all of us to participate in big data. [Discussed at the 7:05 mark].
You can view the entire interview in the following video.
Big data market survey: Hadoop solutions
A survey of the Hadoop big data marketplace.
In this survey, Edd Dumbill explores the Hadoop-based big data solutions available on the market, contrasts the approaches of EMC Greenplum, IBM, Microsoft and Oracle and provides an overview of Hadoop distributions.
How data and open government are transforming NYC
New York works to become a premier digital city.
New York City has become the epicenter for experiments in data-drive governance — from citizensourcing smarter government to embracing a broader future as a data platform. Here, NYC officials Rachel Sterne and Carole Post discuss the city’s data initiatives.
Oracle's Big Data Appliance: what it means
Hadoop and R are the new industry standards
Today, Oracle announced their Big Data Appliance. It couldn't be a plainer validation of what's important in big data right now, or where the battle for technology dominance lies.
Oracle’s Big Data Appliance: what it means
Hadoop and R are the new industry standards
Today, Oracle announced their Big Data Appliance. It couldn't be a plainer validation of what's important in big data right now, or where the battle for technology dominance lies.
The nexus of data, art and science is where the interesting stuff happens
Data artist Jer Thorp on working at the New York Times and the aesthetics of data.
Jer Thorp, data artist in residence at the New York Times, sits at the crossroads of data, art and science. Here he discusses his work at the Times and, more broadly, how aesthetics shape our understanding of data.
There’s no such thing as big data
Even if you have petabyes of data, you still need to know how to ask the right questions to apply it.
Today's big companies are losing to small upstarts simply because those firms ask better questions. To compete, large enterprises need to learn how to harvest the data they have on customers, markets, competitors, and products.
There's no such thing as big data
Even if you have petabyes of data, you still need to know how to ask the right questions to apply it.
Today's big companies are losing to small upstarts simply because those firms ask better questions. To compete, large enterprises need to learn how to harvest the data they have on customers, markets, competitors, and products.
Big data and the semantic web
At war, indifferent, or intimately connected?
The big data and semantic web worlds seem to be disjunct. Yet big data is poised to light the fire beneath the long-held dreams of the semantic web, and the semantic web will enable data scientists to describe, organize and reason about their results.