Big Data Quarterly, popularly known as BDQ, dedicated to bringing to the fore the various trends and analysis on subjects related to Big Data, features an article by Joe McKendrick in which the author unravels the new rules governing the delivery of information to enterprises and this may be achieved by effective data management and analysis.
Joe McKendrick begins by telling us about the rising expectations of users either employee or customers when visiting a website. With fast galloping technology coupled with increasing bandwidth speeds, the users of connected networks and devices expect information in nanoseconds.
With intense competition driving the enterprises to focus on user experience to increase business revenues, and for this enterprises encourage data and development teams to delivers applications with recommendation engines based on customer insights, which in turn requires not only data but fast and intelligent data in real time or near real time.
With the emergence of in–memory databases, machine learning … and other Gen Next technologies, a typical data eco-system which previously was tasked to deliver static reports based on historical data is today designed to be a real-time or near time application to help deliver operational intelligence to decision makers on an instantaneous basis.
Enterprises accustomed to batch mode of data up-gradation usually on 24-hour cycle recognize the benefits accruing to their organizations by keeping the data refreshed on a constant basis. And hence task their data managers to build, maintain and support a fast or streaming data eco-system to support highly interactive and intelligent applications.
Lastly, Joe McKendrick suggested few key elements necessary for fast and intelligent data eco- system.
- Mind data storage
- Alternate databases
- Employ analytics close to data
- In–Memory Options
- Machine Learning and another real time approach
- Enhance skill base
- Look at Life–cycle data management.