Organizations need databases which are needed to store data safely. Through databases one can solve problems from NoSQL and RDBMS framework to in-memory databases. This help banks to give quicker reaction times and viable examination, prompting better client experience and maintenance. Utilizing a center layer on top of various databases, banks can rapidly assemble information. For more read the article written by Nanda Kumar(CEO, SunTec Business Solution) : https://www.finextra.com/blogposting/12478/making-data-work-for-banks

Mention database and what all things will come to your mind? Data management, storage, tables, RDBMS… But this trend is changing. The reason for the change is big data. Data has become so big that conventional methods and tools are not enough to manage this data. So what to do? We need some database technologies which can deal with big data. Hadoop is the most popular technology which can tackle big data. It is a data-centric platform which is highly scalable and used to run applications in parallel. Another alternative to RDBMS is the use of NoSQL platforms like MongoDB. Read the full article here: http://www.infoworld.com/article/3003647/database/how-big-data-is-changing-the-database-landscape-for-good.html

Datastax has updated its Apache Cassandra-based NoSQL database. An in-memory computing feature is added to increase the performance of online applications. DataStax Enterprise 4.0 includes improved search, an updated version of the OpsCenter visual monitoring tool, and certified Cassandra 2.0. Performance benchmarks conducted by DataStax on the in-memory feature show significant improvements in speed. To know more on this topic go through the article by Toby Wolpe, senior reporter at ZDNet in London:

http://www.zdnet.com/apache-cassandra-gets-in-memory-option-with-datastax-enterprise-4-0-7000026757/

Facebook released Cassandra, its NoSQL, big data distributed data store to open source. It can power massive data sets quickly and reliably without compromising performance. Different new features and improvements are included in the latest version. To know more about Cassandra 2.0, follow Steven J. Vaughan-Nichols's, article link:

http://www.zdnet.com/cassandra-2-0-the-next-generation-of-big-data-7000020237/