SigmaWay Blog

With every passing day, improvement in technology keeps making our lives easier and more organized. Social business intelligence is a technology which allows systematic data sharing, computing and analysis to obtain an efficient market data through different social media analytics. It is of utmost importance for companies today to have an efficient business management system which is capable to deal with huge databases coming from social media and IT systems. Also, the systems should be accessible and cost-effective. But, the occurrence of cyber hacks and security impeachments hamper the growth of this market. In the coming years, open-source software framework systems like Hadoop and MapReduce will benefit the companies in efficient data management. FMI reports suggest that business intelligence tools are likely to take over the BSFI, IT and the telecommunication sector by 2017. Read more at

 http://www.business2community.com/business-intelligence/social-business-intelligence-become-important-enterprises-01826088#zh5mpOHGhiZODQ7Y.97

Network monitoring software (NMS) is useful to increase productivity and security of business networks without increasing the workload. Few features of NMS include: monitoring the device on the network, gathering information and metrics on various devices, identifying traffic, analyzing performance, minimizing the threats related to security and alerting if any problem arises. This allows to focus more on building of network and managing the business. Freeware tools and open source software are two ways to get free network monitoring software.  Few network monitoring tools are solarwinds, ntopng, cacti, icinga, nagios core, zabbix, etc. 

On using network monitoring tools, businesses will improve their productivity and security and thus will be able to expand their networks efficiently.

To read more: http://www.business2community.com/cybersecurity/free-network-monitoring-software-organization-01600210#aTu1iyegOpdIiJWb.97

The big data has penetrated into healthcare. But merely collecting the patient records and keeping them in the form of electronic health records (EHR) is not enough. It starts with using programming software languages like R to sort through the huge database. R is an open source programing software used for statistical computation and data mining. In this case, R can be used to interpret the EHR for different purposes like side effects associate with a particular drug among a typical set of patients with similar records and could also help identify what causes the side effect. R can be customized according to the needs of the patient and the physician and thus can be helpful in providing personalized healthcare .Also, since R is open source software, it involves no cost and a large amount of documentation is available to learn the language. Read more at:http://www.healthcareitnews.com/blog/radical-potential-open-source-programming-healthcare 

Red Hat has gathered a selection of open source software to create a Big Data development and deployment environment. It announced a software stack which includes Red Hat Enterprise Linux, Red Hat Storage, a Hadoop plug-in allowing Hadoop to process data stored using Red Hat Storage, Red Hat Enterprise Virtualization etc. The company has thrown its hat into the ring to compete with and cooperate with many in the Hadoop community. To know more on this, go through the article by Daniel Kusnetzky, a reformed software engineer and product manager.

http://www.zdnet.com/red-hat-throws-its-hat-into-the-big-data-ring-7000011680/