Control-M for Big Data

Make sure your team has the tools needed to successfully implement big data projects and deliver analytical value that drives strategic direction and opportunities for competitive advantage.

Control-M can help you:

• Justify continued investment, reducing dependence on costly storage
• Right-size the skilled staff required to deliver data-driven outcomes
• Standardize processes while allowing your team to work with the tools most suited to them

Setting the technical direction and design for your big data initiative is easier said than done. New solutions hit the open-source market daily and sorting through them can be daunting. Keep your project moving forward with the visibility, accessibility, and security required.

Control-M can help you:

• Deliver your project faster, seamlessly connecting to any application and any database across the enterprise
• Automate workflow development, minimizing disruptions and the need for developer rework
• Enhance the stability and security of your enterprise-grade big data environment

Overseeing the day-to-day development of Hadoop comes with its own challenges. From the infrastructure to the domain expertise, it’s up to you to ensure the end result answers everyone’s questions. The speed and quality of the Hadoop code your team delivers is just one key component for success.

Learn how Control-M can help you:

• Build and deploy big data pipelines with Jobs-as-Code and seamlessly inject the job workflows in your continuous integration and continuous delivery cycles
• Ingest and process data from platforms like Hadoop, Spark, EMR, Snowflake, and RedShift
• Convert existing workflows to Control-M—scripted, Oozie, or another enterprise scheduler—to maintain continuity and reduce lost cycles
• Ease the handoff of code to Operations, driving a continuous delivery model