Trends drive markets in a variety of divergent directions; however, large companies understand that trends are key to predicting financial outcomes. For this reason, 2015 will be pivotal for many large and medium sized companies seeking to leverage the latest advancements in Big Data management and analytics. New perspectives and methods of how to manhandle Big Data will inevitably produce greater insights into market trends emerging within the data being organized for immediate analysis. The following are four trends with Big Data that will become center stage as we progress further into 2015:
Pushing In-memory Processing to the Max for Real Time Analytics
According to one article, Big Data use will push for more active use of in-memory data resources in 2015 to more efficiently accommodate real time analytics for corporate decision making. Companies seek to rely less on historical data patterns and wish to be able to execute decisions that operate within a trend’s progression as close to real time as possible. Companies able to leverage the use of in-memory processing on Big Data hope to keep in pace with market trends to maximize positions for securing optimal increases in revenue.
Progressive Restructuring with NoSql and Hadoop
Another significant move to handle Big Data management began to take shape by April of 2014. Heading into 2015, companies continued to push for a restructuring of how to handle nontraditional operations that did not function well within standard relational database methodologies. To this end, the pairing of NoSql with Hadoop has become the new preferred industry leanings to help address these infrastructure concerns.
Improving Best Practices
The need to improve best practices will become another major priority when dealing with data feeds and analysis hubs. Best practices guidelines become an essential element to normalizing industry usage and implementation of technology in the area of Big Data applications. These standards also help businesses properly communicate over how Big Data is to be managed throughout the market to obtain the most efficient outcomes for business-related applications.
Software Defined Data Centers
Another important trend in 2015 is the continual striving towards more integrated software defined data centers for managing the storage and application of Big Data. As the sheer volume of data increases, it makes it more difficult for IT professionals to manually manage and manipulate the hardware systems that control how the data is stored and utilized. For increased flexibility, time savings, faster manipulation and automated reconfiguration the need to push for more elaborate software defined data center applications will be an important part of Big Data advancements in 2015. These systems will also ensure a more intuitive use of Big Data applications is accessible to less tech savvy companies who need increased levels of automated virtual control of their data.
While Big Data is going to reach new heights in 2015, efforts are already being made to bring intelligent solutions to many emerging issues related to this highly desired analytical medium. From collation to democratization of data, the access to Big Data will increase as more companies express a business interest in using Big Data to predict market trends. Real time access to trend analysis is a major focus for Big Data through 2015 as business interests want more current decision making power based in faster analytics. Ushering in new infrastructural approaches and best practice guidelines will also dominate how Big Data is being dealt with in the IT sector. The information for this article was provided by professionals who offer a master’s degree in database administration.
By Dixie Somers