DataOps is the orchestration of people, process, and technology to accelerate the quick delivery of high-quality data to data citizens. When done right, DataOps creates business value because users know what data they have, can trust the quality and its meaning, and use it without violating
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any
Most businesses collect data but are unable to use it to generate business value or deliver insights in a timely fashion. Data volume and data types continue to grow, as do the different types of data citizens—ranging from business users to data scientists. As a result, data management and delivery
Making the most of the Internet of Things requires the smooth integration of DevOps and continuous engineering practices. Companies that adopt this strategy will unlock unique IoT possibilities for their organizations.
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
IBM’s recent addition of big data and analytic services into Bluemix will empower today’s application developer with an unmatched pool of resources. It will drastically reduce the time and cost for developers to get an analytical application off the ground and open new doors for immediate trial.