As we move to a more technologically advanced workflow, the need for bigger data storage in a convenient platform became the demand of many big companies. Today, smart devices have revolutionized mobile computing by offering the big data solution. Citing the latest finding from BI Intelligence, Business Insider’s Marcelo Ballve revealed that mobile’s big data surge induces a positive impact on all aspects of the trade.
Aside from the smartphone itself, Ballve confirmed that a big chunk of data came from the mobile applications running in the background. Thus, even if you’re not using your phone, you’re still leaving digital trails with the applications that are still running on your handset. Below, we’ll discuss more about the current and next level of mobile big data solution.
How are mobile and big data working today?
· Integration of big data analytics to third-party cloud solutions
Analytics refers to the ability to process large chunks of information of varied types. When integrated into a third-party mobile cloud app, it will present hidden patterns and unknown correlations. This will provide enterprises with a competitive edge against competitors in terms of profits and marketing.
An example of this is Cloudera, a Cloud-based big data analytics solution that includes Apache Hadoop, Cloudera Manager, and Cloudera Navigator to deliver quick and simple data management to small and large organizations. Verizon Wireless reported in November 2013 that they’ve included this service to cater for their increasing number of Cloud clients. “A Cloudera distribution supporting billions of records can be deployed on the Verizon Cloud in a matter of hours – significantly faster than deployments on generic public clouds,” the report wrote.
· Reshaping the health care infrastructure
The correlation of mobile and big data is also making significant leaps in the health care industry. Taking advantage of the immediacy that mobile technology offers, health professionals are also leveraging big data in generating a faster and more efficient diagnosis.
An example will be the Epocrates Bugs + Drugs, which puts information about bacteria types and resistance patterns into the doctor’s hands. Second is the “Your Data” program of Benovate that uses data to analyze a person’s health based on referral rates, patient satisfaction, and financial metrics.
· Shortage of big data experts
Information Week places this as the top potential drawback of mobile big data. In an interview with Wikibon’s Jeffrey Kelly, he said that this shortage will not improve anytime soon. Meanwhile, Datalink’s Steve Bulmer said that there’s a need to split the tasks of data scientist and data management specialist. This “division of labor” would help IT departments to deal with the coming tidal wave of data, Bulmer argued.
· Multimedia datasets
Today, smartphone users are able to leverage apps in uploading photos and videos to social networking sites. In return, files that are once can only be viewed on the PC or laptop can now be accessed on these handy devices. And, today, there’s the advent of wearable technology, we are able to leverage more of the efficient mobile computing of smart devices through voice commands.
Where is the correlation between big data and mobile technology headed to?
· Interactivity: Still a long way to go
“It’s still difficult to interact with data on a mobile device,” said Kelly in a separate interview with HP. He explained that smart devices are still limited in terms of size and external plug-ins, prompting data scientists to resort to a laptop to analyze information. But, Kelly reiterated that mobile devices have a fair share of strengths, especially in alert-based and action-based recommendations. “Certainly I expect we will get to the point where mobile devices will become fully functional compared to desktop data analytics applications,” Kelly said.
· Mobile sensors
In response to what was declared as a sinking ship, Sap Hana’s Marie Goodell argues that the future of big data is Smart Data. Goodell said that mobile technology has a big participation in this in the form of sensors.
Wearable sensors are best exemplified in managing a team of athletes. The TSG Hoffenheim soccer club in Germany uses big data to optimize soccer training by equipping each player with a sensor every session. Through a mobile device, all information is transferred, including ball contact and acceleration.
The unlimited opportunities posed by the interaction between mobile technology and big data constitutes Forbes’ prediction this 2014 – that big data will experience the widest adaptation possible. In what other ways do you see these two massive trends working together?
Kyle Albert is a tech blogger, who is keen on seeing the opportunities that may come from combining mobile technology and the increasing demand for big data. He also covers various mobile tech conferences. You can talk more about this with Kyle on Google+.