As companies expand and generate larger amounts of data sets, not knowing how to process and interpret such data is a major obstacle to its usage, in addition to a lack of skilled workers in the field and trying to find the most ideal platform.
Big Data, data sets so abundant they are impossible manage using on-hand database management tools, are problematic for companies. It is hard to store them, look for them and share them - managing the millions of pictures uploaded on Facebook is just one example. However, using massive amounts of data is beneficial to companies for reasons such as spotting business trends. For both large corporations and expanding businesses that are encountering hundreds of gigabytes of data for the first time, it is becoming crucial to think about one’s data management options. According to a survey conducted by Ovum on Big Data users, knowledgeable analysts are rare and traditional data-management platform providers, such as SQL (Standard Query Language), a standard database system, will not suffice to handle the expected amounts of data to be generated by companies in 2012.
Lack of Skilled Workers To Manage Big Data
For companies looking to better manage large amounts of information, analysts knowledgeable in Big Data are few and far between. Finding such skilled workers has become an obstacle for companies, creating an uphill battle in terms of finding the appropriate personnel to integrate a particular platform. Though data-management applications such as MapReduce are to ease the burden of the Big Data skills shortage due their relative application familiarity amongst data analysts, companies such as Google and Facebook are unable to rely solely on these database management systems and need highly skilled analysts and new platforms.
Several Platform Solutions for Data-Management
As techniques for data cleansing and information lifecycle management are still evolving, those surveyed believe that Big Data problems can be resolved through several solutions. Platforms such as NoSQL (not only a standard query language), a data-store of storing and retrieving data quickly, is a data-management tool underused by smaller companies. It allows for the storage of data in exabytes, in which one is equal to one billion gigabytes of data. Additionally, a software framework supporting data-intensive applications known as Hadoop, enables applications to work with thousands of petabytes of data. Cloud computing is also becoming a key deployment option to handle Big Data problems for companies.