Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (Apr. 11 to Apr. 17). Here they are, in order of popularity:
In most of these applications, you have to deal with evented data which comes in “in real-time”. Data is constantly changing and you usually want to consider the data over a certain time frame (“page views in the last hour”), instead of just taking all of the past data into account.
SQL as an interface to big data operations is desirable for the same reasons the author found it useful, but it also introduces some performance implications that are not suited to traditional MapReduce-style jobs which tend to have completion times in the tens of minutes to hours rather than seconds.
The author has been using Lucene for the past six or seven years, and after his last post, he thought it would be a good idea to talk a bit about the kind of things that it isn't doing well.
The database plugin in IntelliJ IDEA is a useful tool to work with data in databases. As long as we got a JDBC driver to connect to the database we can configure a data source
Get down with R and start visualizing your data in a whole new way!