Today’s businesses are focused on achieving more intelligent business outcomes, by using big data analytic initiatives to drive more informed business decisions.
Big data and analytics are at the top of the business agenda. Frequently, that agenda requires development, and/or migration, of enterprise and consumer applications so clients are able manage, analyze, learn from and report on large data sets. Those learnings are critical for business success — and Daitan is well equipped to help businesses achieve business success through big data and analytics.
Challenges faced by big data include the ability to capture, curate, search, share, store, transfer, and visualize large volumes of data, as well as ensure security and information privacy. The volume, variety and velocity of data are always a challenge. We stay at the forefront of the latest technology advances to support high performance big data analysis.
Our teams are expert in the benefits and applications of NoSQL (Not Only SQL) storage databases, such as Apache Cassandra and Apache Hadoop. We have incorporated Amazon’s Elastic Search to offer natural language search over very large amounts of data, and we’ve deployed elastic load balancing to help in the process of scaling up and down based on load analysis requirements.
Beyond looking at application-generated data, our expertise extends to the use of tools like Splunk for searching, monitoring and analyzing machine-generated big data, and Sumo Logic, for looking at machine-generated big data to make real-time decisions about resource allocations.
These are just a few examples of our work. If you want to ask about specific expertise, or just have questions, contact us for a free consultation
Our client sought to use opt-in social data from a variety of social sources — including Facebook, Twitter and LinkedIn — to discover ‘connections’ insights. Daitan delivered a highly scalable solution to manage huge volumes of data, involving Apache Cassandra, Apache Hadoop’s MapReduce, Amazon AWS and Elastic Load Balancing.
Our client had a popular MMO game in market that required a significant upgrade to improve performance when used by increasing numbers of users. Daitan overhauled the MMO, using Redis and MongoDB to improve data performance, and to ensure that database accesses were cached to optimize performance.
Have questions? Contact us for a free consultation to discuss your project.