Apache Arrow, a new open source project, is designed to provide high performance in-memory analytics across different systems. It eliminates cross system communication overhead cost and can improve performance 100 times. It is based on the code of Apache Drill. Developers from other Apache projects. It removes the burden of serialization and deserialization of data. It also supports complex data in addition to relational data. Read the complete article here: http://www.cio.com/article/3034279/big-data-gets-a-new-open-source-project-apache-arrow.html

In today`s business world, time is a precious resource, so there is increasing demand for a faster system of data analysis. An emerging open source analytics tool called spark is slowly gaining popularity and is being used for getting faster results obtained from big data analysis. Earlier many companies used and relied on Hadoop for processing and analyzing information, which used to take days to arrive at a meaningful inference. The spark analytics technology uses a completely different technique for storing data than Hadoop, with spark data is directly written in the memory rather than storing in disks, which increases the speed of data analysis remarkably.  There are also other interesting technological features for which spark is gaining attention.To know more read:  http://blogs.wsj.com/cio/2015/06/03/spark-a-tool-at-big-datas-cutting-edge-helps-under-armour-perform-faster-analytics/?KEYWORDS=analytics