Big data often leads to quick availability of business intelligence due to the reliable storage of large volumes of data and their parallel processing through the use of open-source tools like Hadoop. The benefits of predictive analysis and modeling made possible by big data are immense.
As per the IDC (International Data Corporation) estimations for 2015, the worldwide big data analytics market (involving the use of Hadoop for advanced analysis) is set to grow to $125 billion. The future trend would see organizations build smart applications on top of Hadoop. Let’s check out some of the predictions for big data trends and Hadoop for 2015.
Move to Rich Media Analytics
Enterprises are expected to make more use of analytics based on videos, images, and audio. Large companies have already started leveraging these rich media analytics to stay ahead of the competition.
According to IDC, rich media analytics would turn into a key investment consideration and will probably increase threefold by the end of 2015.
Filling the Gaps in Hadoop Solutions
Hadoop is an open-source platform, used to store and process both structured and unstructured data. According to Forrester Research, there are plenty of gaps in data management and governance solutions for Hadoop.
It is here that various enterprise software companies such as Oracle, IBM, and Microsoft will continue to fill the gaps with their own data management and governance tools that synchronize with enterprise applications and run natively in the Hadoop environment.
Development of In-House Hadoop Talent
It is a known fact that there is a scarcity of Hadoop skills in the global market at present. However, being an open-source platform, it is easier for enterprise Java application developers to dig deep and learn the associated APIs.
Forrester Research is of the view that 2015 would see more companies turning to their internal application development team to execute big data and Hadoop projects using Java. This would mean that, the current shortage of Hadoop skills would be drastically reduced as enterprises develop the requisite Hadoop expertise, in-house.
Increased Demand for Single SQL Statement
SQL apps (used in or on Hadoop) are crucial for reading and writing data on databases. IT teams have started using different SQL dialects to resolve different business queries related to big data.
However, this is causing some problems for businesses, as the management might not get access to the intelligence they need, on time. Information is only useful if it is available when required, otherwise, it’s just a waste of resources for an organization.
This is why there will be an increased demand for single SQL statements to access all data stored across different places by an organization. It could eventually ensure that decisions about data storage are taken purely based on factors such as cost and quicker access, rather than to cover up the limitations of SQL.
Improved Security and Governance Solutions
Big data security solutions would play a key role in spotting any unusual activity by regularly monitoring network patterns, possibly even in real time.
According to the International Institute of Analytics (IIA), this would eventually become a must-have for companies to safeguard against cyber crime in 2015. There would be a growing need to govern the security of Hadoop systems, and apply access controls in order to ensure compliance with enterprise security policies.