DataOps is a term used to describe the process of managing data storage and management. It is a combination of data engineering, data science, and DevOps, and is used to automate the process of data storage and management. DataOps focuses on the development, deployment, and maintenance of data pipelines, which are used to move data from one system to another. It also includes the automation of data quality checks, data security, and data governance. DataOps is becoming increasingly important as organizations move to the cloud and need to manage large amounts of data. It is also becoming more important as organizations move to more complex data architectures, such as microservices and distributed systems. Companies in the DataOps market include Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud, Snowflake, and Databricks. Show Less Read more
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