In the last two blogs, I talked about the reasons for IT Transformation, understanding Enterprise Environment and how to effectively set management goals. As more and more companies begin to move towards IT Transformation, there are mistakes that businesses should be weary of. Today I will discuss the pitfalls that can slump the IT transformation process, as well as, the services Cisco has been developing to help Enterprise on the journey to IT transformation. Read More »
Big Data Analytics is becoming an integral part of the enterprise IT ecosystem. In order to realize its full potential it must be integrated with traditional data management systems and analytics technologies (and in the near future with Internet of Everything). Today, Cisco and SAS is announcing joint solutions that deliver faster, more accurate insights and solve most complex business problems. Built up on our vision of shared infrastructure and unified management across enterprise applications, these solutions are designed to deliver high-performance compute, network, and storage access and cost effectively scale as your business demands. We are offering you the choice of three configurations to meet your business needs:
- Scale-out solution based on UCS Common Platform Architecture for Big Data powered by Cisco UCS C240 M3 Servers in which SAS Analytics coexists on the same cluster with Hadoop. This solution combines in-memory analytics capabilities of SAS Visual Analytics and cost effective storage and scaling of Hadoop – significantly lowering the TCO
- In-Memory real-time analytics solution powered by Cisco UCS B460 M4 Blade Server and C460 M4 Rack Server featuring Intel Xeon E7 V2 processor family that supports up to 60 processors cores and 6TB of memory enabling fast in-memory analytics, delivering up to 80 percent more performance and up to 80 percent lower total cost of ownership (TCO) than alternative RISC architectures1
- Traditional shared-storage based solution with Cisco UCS B200 M3 Blade Servers and Cisco UCS Invicta Series Solid State Systems or enterprise-class storage from Cisco partners where compute and storage components can scale independently.
For additional information please see the solution brief.
Welcome back! In the season premiere of Engineers Unplugged, Roving Reporter Tom Hollingsworth (@networkingnerd) talks to Cisco Networking Academy Dream Team Member Tylor Kytasaari (@TylorKytasaari) about network topology and what it takes to keep the bandwidth flowing at an event the size of Cisco Live US! Great tech talk with a side of practical information.
If you would like to become Internet Famous, and strut your unicorn talents, join us for our next filming session at VMworld 2014. Tweet me for details!
This is Engineers Unplugged, where technologists talk to each other the way they know best, with a whiteboard. The rules are simple:
- Episodes will publish weekly (or as close to it as we can manage)
- Subscribe to the podcast here: engineersunplugged.com
- Follow the #engineersunplugged conversation on Twitter
- Submit ideas for episodes or volunteer to appear by Tweeting to @CommsNinja
- Practice drawing unicorns
Join the behind the scenes by liking Engineers Unplugged on Facebook.
(This is part 4 of a 7-part series sharing insights from Cisco partners about the Future of Cloud.)
At Cisco Live!, Derek Siler, Director, Solution Engineering – Channel Sales at Sungard Availability Services, shared his company’s vision of the cloud and how they bring value to the market. “Our real unique differentiation is our focus on availability and our ability to give a very resilient hosted environment for production instances,” said Siler. “We have Cisco Powered cloud services for both hosting and instances of a client’s production environment. We can do that with our managed cloud, which has all the benefits of a multi-tenant cloud environment but a full managed service layer all the way up to the operating system. We also have a true public cloud offering which has that elastic spin up/ spin down capability.”
Building a resilient cloud that can carry businesses into the future requires a resilient foundation. “We’ve been with a Cisco partner from a technology perspective for years,” said Siler. “We’ve also been in the Cisco partner network for multiple years now too. We’ve even won a Cisco Cloud partner of the year award. We were very honored to receive that recognition.”
“Not only do we work extensively with Cisco, we work with many of the top Cisco partners in the Cisco partner ecosystem. We’re building our cloud future around Cisco and around enterprise-grade architectures.”
“For us, Cisco is absolutely vital.”
You can also learn more about how providers are addressing the need for enterprise class services in the latest edition of Unleashing IT.
Enterprise Management Associates (EMA) is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts, including Shawn Rogers who guides EMA’s Business Intelligent Research group, leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help their clients achieve their goals.
Shawn recently published an EMA Impact Brief on Cisco Big Data Warehouse Expansion. In it he examines the impact this solution brings to traditional data warehouse environments by better managing data, system growth and extending the analytic value delivered from a data warehouse investment.
Cisco Big Data Warehouse Expansion is a new offering that combines hardware, software and services to help customers control the costs of their ever-expanding data warehouses by offloading infrequently used data to low-cost big data stores. Analytics are enriched as more data is retained and all data remains accessible.
In his Impact Brief, Shawn makes three important observations about how enterprises can benefit:
Cost Control: A common cost to traditional data warehouse environments is planning for the exponential growth of data. The Cisco solution analyzes the system, identifies data not in use (cold data) and provides a workflow and tools to offload the data onto Hadoop avoiding upgrade costs and extending the life of the data warehouse.
Improved Performance: By implementing an ongoing strategy to offload data from the primary system to Hadoop, the Cisco Big Data Warehouse Expansion solution frees up resources providing for better overall system performance. Additionally, Cisco deploys data virtualization technology that adds a layer of optimization for fast queries and simplified access spanning the original warehouse and the new Hadoop data store. Further, Cisco UCS servers are optimized for Hadoop workloads.
Added Analytic Value: Many companies are forced by the economics of data management to implement aggressive Information Lifecycle Management (ILM) policies removing data from critical systems to avoid costs. The Cisco solution helps customers keep more data online and available for deeper and more insightful analytics, therefore, adding value to the overall environment.”
The report ends with the following conclusion:
“EMA recommends that organizations that manage mature data warehouses investigate offloading as a strategy to expand and extend their data warehouse investment.”
If Shawn’s counsel makes as much sense to you as it does to me, then let’s get started.
Click here to download and read the entire report.
To learn more about Cisco Data Virtualization, check out our page.
To learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors at www.enterprisemanagement.com.