SAP recently announced that they have expanded their SAP HANA Tailored Data Center Integration (TDI) to include networking. So what does this mean? It means that if a SAP customer installs SAP HANA, and that same customer has enough capacity on their existing networking equipment to satisfy the SAP HANA certification requirements for networking, then the customer can utilize their existing networking architecture for SAP HANA without having to purchase additional equipment to meet those requirements. Read More »
In this week’s episode of Engineers Unplugged, John Griffith (@jdg_8) and Kenneth Hui (@hui_kenneth) discuss Cinder--a way to abstract and give you block storage services inside of OpenStack. Great info with practical applications in this second of our series on OpenStack leading up to OpenStack Summit in Paris.
And let there be whiteboards and unicorns!
Cinder + OpenStack + Unicorns (courtesy of John Griffith and Kenneth Hui!)
**Want to be Internet Famous? Act now! Join us for our next shoot: NetApp Insight. Tweet me @CommsNinja!**
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)
We’ve reached the 8th installment of our blog series on Cisco’s Big Data and Analytics vision (beginning with Scott Ciccone’s blog on September 23). No doubt by now you have either seen or heard about Cisco’s broad data and analytics portfolio presented at Strataconf in New York on Oct. 15. And if you missed our October 21st executive webcast ‘Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions,’ please check it out. Now you’re probably eager to know how to make the most of our approach to data analytics. How can you benefit the most—and the most quickly—from data analysis in your organization?
Customers come to us to ask for support in extracting valuable and actionable business insights from their large stocks of network data. Their goal is always to drive both operational efficiencies and new revenue opportunities. Rapid changes in the business environment increase pressure on time-to-value: savings and revenues need to be brought in as quickly as possible. But traditional ways to extract value from data, complicated by volume, velocity and variety issues, often have a very long time-to-value. In fact, data analytics consulting projects historically take a year or longer to complete. Customers get handed large scale implementation plans and, by the time the program is implemented, the wind has changed: the market opportunity has closed, and the business has moved on.
That’s why for some time now I’ve been a student of accelerating time to value for data analytics. Our job is not just to show our customers the hidden business value of their data, but also to bring that value to them fast. We have developed a rapid prototyping, iterative approach that continuously develops actionable insights from network and other sources of data. Our approach contains four steps to help our customers quickly develop, test, and implement business ideas and processes:
Step One: We start by working with customers and identify key use cases through an “Internet of Everything” iterative planning approach. Our experts don’t just present an idea, but a complete, ready-to-test hypothesis, using visualization techniques and an analytics design approach to discover new ways to do business, based on analytics insights.
Step Two: We use a rapid data extraction approach to capture the data needed to test that hypothesis. We fully leverage Cisco’s Connected Analytics platform, enabling automated data collection and simple correlations exploration.
Step Three: Once we have the data we need, we apply a data science approach to build an “analytics sandbox” in which we test the proposed use cases and measure its outcomes. We use rapid prototyping to test theories, quickly working through iterations to develop a truly working business model for our customers’ unique situations. In the process we are able to identify new insights that became the basis for the next use cases.
Step Four: The result is a set of modular Business Insights, which we interpret and thoroughly test, and turn into an actionable plan that we execute. This makes it relatively easy for our experts to integrate insights and actions into our customers’ transformation initiatives—and in a fraction of the time of traditional data-driven solutions.
The world of top down, outside-in consulting, where value comes from individuals’ experience, is gone. Value today is enabled by the capability of companies like Cisco to extract and interpret data about our customers’ core business, enabling agile decision making and rapid process transformation.
As the Internet of Everything becomes a pervasive reality, we see that analytics is what creates value from all of these connections value. To learn more about Cisco’s vision for the Internet of Everything, read Joseph Bradley’s blog on Thursday, October 23! #UnlockBigData
A Cisco UCS® C220 M4 Rack Server powered by the Intel® Xeon® processor E5-2600 v3 family delivered four times the max-jOPS rate that Cisco measured using previous processor generations to set a new world record. This dramatically increased performance of 195,119 max-jOPS is thetop 2-socket MultiJVM score for maximum Java operations (max-jOPS).
This world-record of 195,119 max-jOPS is more than three times better than Cisco UCS C240 M3 with Intel Xeon processor E5 v2 family-based result from just 10 months ago, and more than four times better than our Intel Xeon processor E5 family –based result from 18 months ago. This consistent record-setting performance from Cisco UCS blade and rack servers ensures that Cisco will stay ahead of competitors in delivering high performance for Java virtual machines (JVMs) and throughput-intensive Java applications.
The JVM instances ran on a Cisco UCS C220 M4 Rack Server powered by two 18- core Intel Xeon processor E5-2699 v3 CPUs running Red Hat Enterprise Linux (RHEL)Server 6.5 and Oracle Java HotSpot 64-Bit Server Virtual Machine (VM) Version 1.8.0_20. Check out the Performance Brief and the detailed official benchmark disclosure report for additional information on the benchmark configuration.
Let’s see, what does this latest result mean for our customers? This result proves that IT departments that deploy Java applications on Cisco UCS can deliver more throughput and support more users while reducing the complexity of the data center. For customers assessing infrastructure for Java applications, this result demonstrates Cisco’s capability to consistently deliver record-setting performance with every new generation of processor.
It is interesting to note that although all vendors have access to same Intel processors, only Cisco UCS unleashes their power to deliver high performance to applications through the power of unification. The unique, fabric-centric architecture of Cisco UCS integrates the Intel Xeon processors into a system with a better balance of resources that brings processor power to life. . For additional information on Cisco UCS and Cisco UCS Integrated Infrastructure solutions please visit Cisco Unified Computing & Servers web page.
SPEC, and SPECjbb, is registered trademarks of Standard Performance Evaluation Corporation. The benchmark results used to establish world-record status are based on those available at http://www.spec.org as of October 6, 2014.
According to Dr. Barry Devlin, amongst the foremost authorities on business insight and one of the founders of data warehousing, “Data without context is meaningless. It is also valueless. Without a well-understood business context, any derived information and subsequent decisions are open to multiple interpretations or, worse, misinterpretation. It is the context—and, by extension, a Business Directory that manages this context— that promotes the value and virtue of data.”
However analytics, big data, the cloud and the Internet of Everything are are drastically changing today’s data landscape. Gone are the days when business users would ask for information and wait patiently for IT to modify the data warehouse and then write the new reports.
To gain the insights required for competitive success, business users today visualize and analyze data without IT’s help using a new class of easy-to-use, self-service business intelligence (BI) tools such as Qliktech, Spotfire, Pentaho and Tableau, as well as the increasingly powerful and ubiquitous Excel.
However finding and accessing that data remains a big challenge. From the business user point of view, data lacks proper business context, thus obscuring its relevance. Instead data is too distributed, too diverse, too IT-focused in how it is described, organized, and stored.
As with self-service BI for visualization and analysis, business users today are seeking self-service approaches to finding, understanding and accessing data. This requires not only new tools that provide data in a business context, but also a new approach to business and IT collaboration.
Business Directory -- Self-Service Data for Business
Business Directory is the first data virtualization offering designed exclusively for business self-service. Through a business context lens, users apply search and categorization techniques to quickly find and understand the data they’re looking for. From there, they can use their self-service BI tool of choice to query it. The result is far faster time to insight which translates to better business outcomes sooner.
With Business Directory, business and IT align the people, processes and technology for competitive success. IT provides secure, curated, business-context organized data sets to the business, with business adding domain knowledge and analytic value on the path to insight.