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Data Automation: IT Teams Adopt Productivity Tool to Stay Abreast of Growing Data Volumes
Data Automation is the upload, transformation, storage, processing, and analysis of data using automated procedures rather than manual ones. Data is becoming increasingly important for organizations, but as the volume of data has increased, many IT groups are overwhelmed with data management. To improve productivity, increasingly IT teams are turning to data automation techniques.
Sean Knapp, CEO and founder of Ascend.io, told DataNami that “today our data teams are underwater. And they are some of our highest impact, most valuable, most sought-after and hardest-to-retain talent. Yet oftentimes we have them deep in the weeds, deep in the muck, reinventing the wheel over and over again, repeating things over and over again, stalled and encumbered with monotonous manual tasks.”
Knapp went on to say that “the numbers don’t lie—data teams must find a way to dramatically accelerate their productivity, and the overwhelming majority are looking to automation as the answer. Data leaders are increasingly finding that leveraging automation in conjunction with flex code and data mesh technologies significantly increases productivity and amplifies the impact of some of their most talented resources.
A report by Ascend.io found that there is a growing interest in low-code and data mesh tools.
Knapp said that “one of the top priorities for teams is to start to invest in their data mesh strategy, to embrace the fact that their data exists in a very heterogenous ecosystem… Data meshes and other data automation strategies will be important because they allow data teams to solve data management and governance issues at the metadata layer, rather than at the infrastructure layer.”
