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DataOps

Short for Data Operations, streamlines data management by automating and integrating data flows between data providers and consumers throughout the organization. It achieves this by leveraging agile principles, DevOps practices, and statistical process controls.

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Data Processing

DevOps

DevOps is an approach that integrates practices, tools, and a cultural philosophy to automate and optimize the processes between software development and IT operations teams. It emphasizes team empowerment, promotes cross-functional communication and collaboration, and utilizes technology for automation.

DBOps

DBOps, short for Database Operations, goes beyond traditional database management by optimizing the entire lifecycle of cloud-based data. It ensures the efficiency, security, and scalability for your critical data to achieve a symphony of success.

Data

Monitoring Room

Monitoring & Observability

Monitoring and Observability are essential practices in modern IT operations, crucial for maintaining the health, performance, and reliability of complex systems.

AppOps

Application Management, known as AppOPS, is a strategic approach to managing the entire lifecycle of business applications. It involves deploying, monitoring, optimizing, and scaling applications to ensure they meet performance and business objectives.

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Data Cloud

CloudOps

Cloud Operations (CloudOPS) is the practice of managing and optimizing cloud-based infrastructure and applications to ensure they operate smoothly, securely, and efficiently. It encompasses the continuous monitoring, maintenance, and improvement of cloud-based infrastructure, applications, and services.

"Data is a precious thing and will last longer than the systems themselves."

Tim Berners-Lee

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