By now you may have heard that Apache Spark is the fastest growing project in open source ‘Big Data’ community. Spark does not include its own distributed data persistence technology but can work with any Hadoop-compatible data formats. You can use the MarkLogic Connector for Hadoop as an input source to Spark and take advantage of the Spark framework to develop your ‘Big Data’ applications on top of MarkLogic.
Rebalancing in MarkLogic redistributes content in a database so that the forests that make up the database each have a similar number of documents. Spreading documents evenly across forests lets you take better advantage of concurrency among hosts.
With the Sitefinity 7.3 release came many improvements to the search and indexing. Out of the box partial match search and indexing of tags and categories to name a few. Adding the tags and categories to the additional fields for indexing will now automatically translate the guids of the the taxa ...
When creating events, the time format is 24 hours. This can cause confusion for users in the US, since the preferred format there is AM/PM. To change the format, we need to create a new template for the DateTime field. It will not contain any markup changes, we will add ...