Friday 9th March, 2012
11:25am to 12:00pm
Apache Hadoop is the current darling of the "Big Data" world. Most Hadoop Applications are written in the low-level Java API or high-level languages like Hive (a SQL dialect). I examine how OOP and Java thinking is impacting the effectiveness of Hadoop, both the internals and the way you write applications. Using Scala examples from tools like Scrunch, Spark, and others, I demonstrate why functional programming is the way to improve internal efficiency and developer productivity. Finally, I look at the potential future role for Scala in Big Data.
Minor irritant, major pedant, Big Data poser, O'Reilly author, lurks at Think Big Analytics. bio from Twitter
Sign in to add slides, notes or videos to this session