Keeping Up With Demand for Big Data Analytics

In my recent blogs about building the right data strategy and analytics solutions, I discussed how Cisco is helping our customers to meet one of the toughest challenges brought on by the Internet of Everything (IoE) – cost-effectively managing massive amounts of distributed data. With solutions such as Cisco Data Virtualization and Cisco Big Data Warehouse Expansion (BDWE), our customers can bring all of this data together in ways that are meaningful to them. Utilizing the network to securely connect data throughout the IoE and providing advanced analytics, we help our customers predict outcomes so they can drive better decisions in real-time.

To keep up with growing demands for big data analytics, now is the time to look at workload automation end to end. In this blog, I would like to share the other aspect of big data analytics; building the right workload automation strategy to integrate data, analytics and operations.

In today’s big data analytics environments, IT staff is regularly managing increasingly complex processes that are co-dependent on one another and span applications and departments. Rather than implementing silos of automation, we are helping customers take advantage of workload automation from a unified perspective. Our enterprise-wide workload automation solution, Cisco Tidal Enterprise Scheduler (TES), simplifies end-to-end data management and automates diverse business processes across a broad set of applications, systems and environments.

For example, many business intelligence and analytics applications operate 24 hours a day. To handle a high volume of these jobs – many with service-level agreements – customers need the tools to receive and respond to alerts from anywhere.  Using the Cisco Tidal Enterprise Scheduler client on their iPhones and iPads, our customers can receive alerts, check logs and remediate errors from anywhere. As organizations continue to require fast and timely business services, we put the power directly in the users’ hands. By using TES’ self-service portal, business users can monitor the progress of relevant workloads through a web browser and perform basic job control.  In addition to reducing the downtime of a business user having to wait for IT to address their issue, this also takes some of the burden off IT.

TES is a key piece of any company’s big data and analytics software strategy and a priority for us at Cisco. Cisco IT uses TES internally and, due to successful deployment, is now encouraging further widespread internal adoption. Since Cisco TES is the first workload automation solution in the industry to have a suite of Hadoop adapters (as well as other data source and application adapters), Cisco IT is now additionally leveraging TES in Cisco’s own internal Big Data initiatives to deliver an end-to-end big data workload solution – as detailed here and here. We are continuously working to develop ways to integrate TES further with other Cisco Big Data solutions, such as the recently launched BDWE solution, to provide more value through holistic data management solutions.

Taking full advantage of big data delivers a tremendous competitive advantage to our customers.  Cisco TES facilitates the end-to-end management of the entire process from data acquisition, to value extraction, to action. Stay tuned as we continue to deliver new capabilities to further bridge today’s gap between enterprise IT capabilities and business requirements.

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To learn more about Cisco Tidal Enterprise Scheduler and the power of our integrated infrastructure for big data, check out our page.

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