• Like

Cisco Tidal Enterprise Scheduler

  • 373 views
Uploaded on

Lessen the burden of big data workloads and keep up with the rising demand for the exploration of large data sets with the Cisco® Tidal Enterprise Scheduler (TES), an end-to-end workload automation …

Lessen the burden of big data workloads and keep up with the rising demand for the exploration of large data sets with the Cisco® Tidal Enterprise Scheduler (TES), an end-to-end workload automation solution. Learn what Cisco TES brings to the data center and how it can transform your IT departments’ workload.

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
373
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
8
Comments
0
Likes
2

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Unleashing IT, Big Data Special Edition Cisco Tidal Enterprise Scheduler Cisco and Intel® partnering in innovation An easy-to-use automation and orchestration tool for big data workloads. To keep up with growing demand for the exploration of large data sets, organizations need an easy-to-use workload automation solution. Depending on the company’s infrastructure and business needs, the tool needs to orchestrate processes involving a variety of technologies and workloads. “Cisco IT specialists have validated and run proof of concept testing on the TES API integration points for loading data and running Hive queries, Sqoop ETL processes, and MapReduce workloads,” Blaisdell says. “They love the deep integration and ease-of-use of TES, and see a faster time to market for their big data services.” The Cisco® Tidal Enterprise Scheduler (TES) fits the bill. An end-to-end workload automation solution, TES offers built-in adapters to Hadoop, Sqoop, and Hive as well as leading enterprise resource planning (ERP), database, data warehouse, data integration, and business intelligence applications. TES runs jobs and events from a single, centralized server and can manage many thousands of jobs per day. All big data jobs are managed from a single instance, lowering the burden of having to manage a distributed environment. TES’s end-to-end coverage also allows administrators both inside and outside the data center to connect and manage workloads from any data source in the enterprise. “TES is used to schedule processes that move data in and out of big data file systems, run data feeds from inside and outside the firewall, and execute big data workloads,” says Andrew Blaisdell, a Cisco product marketing manager specializing in workload automation for big data services. Along with complex, time-based batch scheduling, Cisco TES automates workloads by initiating event-based actions. An event such as the creation of a new customer record might trigger an action such as moving a set of records into a data warehouse. Events can also include running self-service ad hoc reports for end users or watching FTP folders for changes. More information To learn more about end-to-end workload automation, get the white paper and solution briefs from the "Workload Automation" section at: www.UnleashingIT.com/BigData/Resources/. This article first appeared online at www.unleashingit.com, available after subscribing at www.unleashingit.com/LogIn.aspx. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. To view a list of Cisco trademarks, go to this URL: www.cisco.com/go/trademarks. Third party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company. (1309) Intel and the Intel logo are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.