Sprinkle Data

Introduction Throughout the years, DevOps has proved to be a successful practice in optimizing the product delivery cycle. As years passed by and as enterprises throughout the world focused on building a data-driven culture, it was necessary to build it in a proper manner to reap the most benefits from one’s business data. Instead of optimizing with mere assumptions and predictions, these business data provided users with factual insights for best decision making.  Before we dive deep on how different DataOps is from DevOps, let me clue you in with a crisp explanation. DevOps is the transformation in the delivery capability of development and software teams whereas DataOps focuses much on the transforming intelligence systems and analytic models by data analysts and data engineers.  DevOps is a synergy of development, IT operations, and engineering teams with the main idea to reduce cost and time spent on the development and release cycle. However, DataOps works one le...