Before the development of Big Data technologies, the data was managed by conventional programming languages and simple structured query languages. However, these languages were unable to handle data due to the constant expansion of organization’s information and data. That is why it has become crucial to manage such huge data and implement a reliable technology that meets all the requirements and needs of clients and large businesses and is responsible for data production and control. Big Data technologies have become a buzzword for these requirements in recent years.
Businesses would benefit from the increase in data but we must be cautious and aware of the issues associated with Big Data storage. Thankfully, there are workable solutions that businesses can put into place to solve their data issues and thrive in the data-driven economy.
Before examining the most common Big Data problems, let’s first define the term “Big Data”.