The rapid adoption of cutting-edge technologies is resulting in voluminous data. Organizations are continuously looking to convert these data points into actionable insights. As organizations explore methods to manage data, there has been a significant improvement in database engines. However, these databases often lack the required agility due to existing manual procedures.

Our accelerators reduce the time to operationalize modern data platforms on the cloud. They cover all aspects of DataOps, which include ingesting data from multiple sources, provisioning data for insights, creating a smart catalog, ensuring data quality, testing, and deployment.
The automation of DataOps improves the availability, accessibility, and integration of data. It brings together people, processes, and technology to provide reliable and high-quality data for all stakeholders.

DataOps is more than DevOps in data analytics. DevOps combines software development and IT operations to ensure continuous delivery, while DataOps includes data analysts, data scientists, and data engineers in the process. This ensures greater collaboration in the development of data flows, resulting in a transformation of analytics models and intelligence systems.