Automation and Big Data
Today’s complex business processes involve several functional areas across the business and IT environment to handle these complex processes include several platforms, operating systems, distributed servers and applications. The IT projects requiring more and more computing power, storage, network capacity and database resources add increasing complexity to the enterprise data center.
As all of these IT projects are crucial to the business, the IT is often faced with increasingly demanding Service Level Agreements, regulatory compliance and corporate policies in addition to the budgetary constraints. IT Workload Automation ties all those components and business requirements together and aligns them with business requirements therefore enabling the IT to meet its goals.
Four areas of Automation We focused
Workload Automation : An evolution of traditional job schedulers which needed to react to the dynamic demands of IT
Data Transfer Automation : Centralize Visiblity all data movement, Design it for Big Data challenges, show you where critical problems are before your customer noticed.
Big Data Integration : Improve your business with big data integration.
Power of Parallel Procesing : Distributed Job Scheduling technology
