BMC Control-M can be integrated with various tools and technologies to support end-to-end automation of batch processing and job scheduling operations. Some examples include:
Cloud platforms: Control-M can be integrated with Amazon Web Services (AWS) and Microsoft Azure, enabling organizations to achieve smooth orchestration across cloud-native tools and manage and schedule batch processing operations in a cloud-based environment.
Databases: Control-M can be integrated with Oracle, Microsoft SQL Server, and IBM DB2 to extract and process data for batch processing operations.
Mainframe systems: Control-M can be integrated with mainframe systems such as IBM z/OS and UNIX/Linux systems to support batch processing operations in mixed environments.
DevOps tools: Control-M can be integrated with DevOps tools such as Hadoop, Docker, Jenkins, Java, JSON, Git, Python, and Ansible to support continuous integration and continuous delivery (CI/CD) workflows for batch processing applications.
Business Intelligence and Analytics tools: Control-M can be integrated with BI and analytics tools such as Tableau, PowerBI, and SAS to enable organizations to extract and analyze batch-processing data and generate actionable insights.
These are just a few examples of the many different tools and technologies that can be integrated with BMC Control-M to support end-to-end automation of batch processing and job scheduling operations.
Learn more about Redwood’s many automation integrations.