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Last night we uploaded version 6.1 of Cisco’s Tidal Enterprise Scheduler. I’m pretty excited to introduce the new functionality of this tool and there’s a lot. Particularly with Hadoop support and Amazon EC and S3 support as well. If you are unfamiliar with TES, the datasheet is here.

But when talking about big data, I thought, I’d start small. Like iPhone small. Existing Scheduler customers and the curious, can download the free Apple iPhone app to control jobs. Here’s the AppStore description and link

Cisco Enterprise Scheduler is the premiere job scheduling and process automation software that provides a single point of control and monitoring for business operations. Enterprise Scheduler for iOS now allows Scheduler administrators and users to monitor and control their operations directly on their mobile devices. Enterprise Scheduler for iOS was designed for the mobile user experience, but retains core features of the Enterprise Scheduler web client that users are familiar with including:

* Monitor and view jobs, connections, events, schedules, queues, logs and alerts.
* Control all aspects of jobs, including holding, rerunning, canceling, and overriding jobs.
* Powerful search and filtering for all Scheduler objects.

Download Cisco Enterprise Scheduler for iPhone

As for the BigData story? I will post more in a few days, but here’s why this product is crucial to big data deployments

What is the Cisco Tidal Scheduler (TES) product and why is it relevant for Big Data?

Big Data requires major data processing—which remains a main function of data centers. The data transformation processes necessary to make Big Data usable are complex and it is inefficient and cost prohibitive to manage such processes in silos without automation because there are so many processes, cross technologies and a myriad of inter-dependencies.  Cisco Tidal Enterprise Scheduler solves this problem because it provides workload automation that facilitates the flow of data between a wide variety of enterprise applications,  now including Hadoop.

The automation delivered by the scheduler makes the creation and management of processes used to transform vast amounts of data into usable information a very feasible endeavor by providing a holistic approach and a unified environment. It helps IT cut costs and increase the value gained from Big Data in the same way that it has been doing for traditional business intelligence management and delivery. Cisco Tidal Enterprise Scheduler provides:

Cisco Tidal Enterprise Scheduler works across diverse systems environments and provides a single point of control and visibility for all scheduled and event-driven processes.

Cisco News:  Cisco Tidal Enterprise Scheduler (TES) release 6.1

This release of Tidal Enterprise Scheduler continues to extend and expand the value of the TES product through the addition of these new capabilities:

The challenges of managing Big Data environments will only get bigger, and to get the most value out of big data, companies need to integrate solutions such as Hadoop with existing data processing environments. And that is exactly what Cisco Tidal Enterprise Scheduler enables because it is a dynamic, intelligent, efficient solution for integrating big data “science projects” into an existing data center infrastructure, and to automate the myriad of dependent processes involved to support advanced data integration analytics and report delivery.

The scheduler is provides adapters to leading enterprise applications and data bases such as SAP, Oracle, Informatica, MS SQL, JDEdwards, Peoplesoft, and others. It also  it offers capacity awareness to prevent bottlenecks, automated resource control, and complete visibility across the entire business processing environment.

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