This week's developerWorks newsletter: Spark takes on Hadoop in data analytics
John Swanson 120000GK2E Visits (4261)
Sign up for your customized newsletter today!
It's good to have options. Whether you're choosing a cola, a car, or a credit card, it helps to have healthy competition in the marketplace. And if data analytics is your game, you benefit from a range of alternatives to the most well-known option, Hadoop. This week's top feature, "Spark, an alternative for fast data analytics," takes a look at one such alternative. Spark is a scalable data analytics platform that incorporates primitives for in-memory computing, so it offers performance advantages over Hadoop's cluster storage approach. Spark is implemented in and exploits the Scala language, making Spark an efficient means of processing distributed data sets. Spark and Scala are still under development, but it's already clear that they are poised to give Hadoop a run for its money.
The only downside to all this competition? It takes me 15 minutes to choose a shampoo.
Until next week,
John Swanson and the developerWorks editorial team
Our other top features on developerWorks this week: