Goodbye 3 V's, Hello 3 D's: Tackling Distributed, Diverse and Dynamic Data
Today’s enterprises are facing an impending storm. A storm of data - distributed across geographies, systems, and teams - growing cloudier each day. When big data first emerged, it was defined by three things: 1) the sheer volume of data, 2) the velocity at which it is produced, and 3) the variety of data types and sources.
Recent IDC research revealed that 68% of enterprise respondents are accelerating their cloud data migration as a result of pandemic influences.
To ride out the storm, enterprises must narrow down the choices of database, public cloud, and more while undergoing a paradigm shift in their data approach. That’s a tall order. Cloud-native data integration offers an agile, continuous delivery model that empowers data teams to handle the diversity, distribution, and dynamics of data to improve data latency, optimize costs, and support hybrid and cloud ecosystem interoperability.
