As more and more businesses undergo a digital transformation, the amount of data they can collect, store, and analyze is growing exponentially. Unfortunately, all this data is typically in different formats, sources, and locations. Without a sound strategy for handling the data, organizations can fall prey to inefficient business processes, lost developer time, rising costs, and more.
Data orchestration uses automated processes to bring together data from dispersed silos and data collection points, combine it, and deliver it directly to those who need it, in uniform formats. It speeds up data flows and prevents data lakes from becoming unwieldy.