The Future of Cloud is Now
Our recent survey of over 130 top data engineers, data architects, and executives uncovered details and trends of the current state of data engineering and DataOps.Read our survey report to learn more about these trends as well as our predictions for future obstacles and our recommendations for avoiding them.
With the advent of ‘big data’, data changed from a byproduct of systems to a source of innovation and competitive advantage. Now, following the universal digital transformation and the current rise of AI and ML and cloud data platforms, data is considered a product in and of itself and its use, value, and significance continues to evolve.
If our understanding of data is changing, the role of the data team and DataOps is being modernized and modified faster. A thorough understanding of modern DataOps is necessary to fully grasp the current value and role of data.
Our recent survey of over 130 top data engineers, data architects, and executives uncovered details and trends of the current state of data engineering and DataOps. We identified popular trends like adoption of cloud data platforms and gained insight into winning and emerging platforms, data engineering challenges, and how organizations are handling sensitive data.Â
Read our survey report to learn more about these trends as well as our predictions for future obstacles and our recommendations for avoiding them.