Blog 2018-02-27T11:14:56+00:00

Accomplishing XML data processing?

Accomplishing XML data processing? hTRUNK uses inbuilt xml processing component using this xml can now be easily processed with simple steps like. Creating the metadata with required fields. Mapping the data and scheduling the job. For further details. please refer to hTRUNK_XML_Processor video.

By | August 28th, 2017|Categories: Uncategorized|0 Comments

How Apache Spark complements Hadoop

Apache Spark is a general-purpose lightening fast data processing engine, suitable for use in a wide range of circumstances. Spark leverages the hadoop’s strength for cluster management and data persistence and compliance. Spark was developed in 2009 in UC Berkeley’s AMPLab and open sourced in 2010, Apache Spark. According to stats on, Spark can “run programs up to 100 times faster than Hadoop MapReduce in memory, or 10 times faster on disk.” In this blog post, Lets talk about How Spark is complementing Hadoop. Although Spark is a viable alternative to Hadoop MapReduce in many circumstances, it is [...]

By | August 28th, 2017|Categories: Uncategorized|0 Comments