May 19th, 2013
The rise of big data is, without a doubt, one of the most popular trends currently occurring in the technology world. Organizations of every kind, from major corporations to small businesses to government agencies, are eagerly embracing big data analytics, which has the potential to yield incredibly valuable insight from otherwise unusable data sets.
As more firms aim to leverage this technology, there are a number of obstacles which must be addressed to ensure success. One of the most notable of these is the need for high-level security. Without effective security, organizations' big data may be at risk of being lost, stolen or exposed. Yet because it is a significant departure from earlier, smaller data sets, many firms currently struggle to devise big data protection strategies.
Here are two tips for keeping big data safe at all times.
1. The right tools
High-quality data protection tools are unquestionably among the most critical aspects of any big data security strategy. Notably, it is important for firms to invest in solutions that are specifically designed to protect big data. A generic solution that was created with the aim of ensuring the security of smaller, structured data sets simply cannot meet the needs of much larger big data sets.
This is true for both big data at rest and in transit. While the former is rather obvious, firms often underappreciate the importance of data movement solutions. In most cases, firms leveraging big data will collect this information from a variety of disparate sources and locations and will need to migrate the data to a single warehouse for successful analytics. Without secure file transfer solutions, though, this data will be vulnerable. That is why it is critical for firms to invest in dedicated big data protection resources that can secure these resources while they are being moved from one location to another.
2. The right personnel
In addition to dedicated security solutions, it is essential for firms to ensure that they have adequate personnel for handling the various aspects of big data analytics. As has been widely reported, there is currently a shortage of experienced big data experts who can offer the skills needed to effectively analyze big data sets. However, it is also important to acknowledge that such workers are critical for ensuring big data security, as well. Those with little to no familiarity with big data may treat these resources as if they are smaller, structured data sets. By doing so, they will quite possibly fail to adequately secure these large data sets.
Those workers with big data analytics experience, however, will be in a much better position to create a robust, dependable strategy for ensuring that the company's big data resources remain fully protected at all times. In addition to acquiring the right tools, these experts can also determine which employees need access to the firm's big data and which do not. By limiting access only to essential personnel, the big data sets will remain far safer.