In-Short
- BMC Software focuses on DataOps and data orchestration for business automation.
- DataOps is gaining importance for operationalizing data initiatives at scale.
- Data orchestration is crucial for integrating disparate data sources and supporting decision-making.
- Control-M by BMC offers adaptable orchestration for modern cloud services and AI technologies.
Summary
BMC Software’s director of solutions marketing, Basil Faruqui, highlights the significance of DataOps and data orchestration in achieving business success through complex workflow automation. BMC’s Control-M product line has introduced over seventy integrations with serverless and PaaS offerings from major cloud providers, enhancing the orchestration capabilities for its customers. The company is also exploring GenAI-based use cases to further optimize workflow development and runtime.
The data and analytics software market is booming, with investments exceeding $100 billion. DataOps has become a critical practice for scaling data initiatives in production. Faruqui emphasizes the alignment of data strategy with business goals, the importance of data quality and accessibility, and the necessity of Ops readiness in data engineering practices.
Data orchestration is a key pillar of DataOps, ensuring seamless data flow across multiple systems. With the rise of GenAI, the need for strategic orchestration is more pronounced, allowing for scalable automation of data pipelines. Interoperability between application and data workflows is essential for speed and scale in production, as exemplified by Control-M’s orchestration capabilities.
AI deployment presents opportunities and challenges, with GenAI accelerating the pace of change in the data ecosystem. Case studies, such as Domino’s Pizza’s use of Control-M, demonstrate the benefits of effective data orchestration in managing complex data pipelines and delivering insights.
Looking ahead, BMC plans to continue integrating modern technologies into Control-M, focusing on serverless and PaaS models, and enhancing the user experience for better collaboration across teams. The intersection of orchestration and data quality will be a focal point, aiming to make data quality integral to application and data workflows.
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