Insight-driven businesses have the edge over others; they grow at an average of more than 30% annually. Noting this pattern, modern enterprises are trying to become data-driven organizations and get more business value out of their data. But the rise of the cloud, the emergence of the Internet of Things (IoT), and other factors mean that data is not limited to on-premises environments. In addition, there are voluminous amounts of data, many data types, and multiple storage locations. As a consequence, managing data is getting more difficult than ever.
One of the ways organizations are addressing these data management challenges is by implementing a data fabric. Using a data fabric is a viable strategy to help companies overcome the barriers that previously made it hard to access data and process it in a distributed data environment. It empowers organizations to manage mounting amounts of data with more efficiency. Data fabric is one of the more recent additions to the lexicon of data analytics.