We are excited to announce the creation of the Cloud blog as a new destination!
Starting today, you can visit the new Cisco Cloud blog and follow the conversation focusing on:
- Cloud as a Service
- Open source in the cloud
There is more to come so please subscribe to the RSS feed to keep up with the latest from the Cloud blog.
The Data Center blog has grown and evolved over the years and we will now be centered around (but not limited to) the following top level conversations:
- Data Center: Compute, Storage, and Networking
- Software Defined Networking
- Building private clouds
- Open source software in the data center
We look forward to being able to bring you more focused content. Thank you for all your support and interest and please let us know what topics you would like to see.
Big Data is better than a sharp stick in the eye. I can say this with great authority, since I missed the first half of Strata+Hadoop World 2015 in San Jose because of the latter. But eye injuries have never kept me offline for long, and I was able to follow online with what I didn’t see in person. But I was very happy to make it in to the show on Friday, and even got a seat at about row 6 in the main hall for the keynotes. Read More »
Tags: Big Data, Hadoop, Hortonworks, MapR, Pivotal, Splunk
In today’s always on and connected, Internet of Things environments, IT is taking center stage to optimize business operations.
Many IT organizations allocate 70% or more of their budgets to simply keeping their operations up and running. It’s been like this for a long time, and there are many good arguments for this approach. After all, when IT stops working, business grinds to a halt. The penalty for failing to keeping things moving is often swift and unpleasant.
At the same time, most CIOs will admit that they are increasingly being pulled in several directions at once. In addition to keeping the uptime ball in the air, as a CIO you must juggle an accelerating onslaught of new demands. Like the push towards video, mobile, data analytics, and cloud. Plus the exponential increase in Internet traffic that means your networks never seem to be fast enough. And no IT executive wants to see their organization on the evening news in connection with the latest data security breach.
As a CIO, you should be asking your IT vendors how they can help reverse the 70-30 ratio in your shop without downgrading its performance. How do you transition to spending less on day-to-day operations? And, what’s the best way to direct a bigger share of IT resources toward addressing the expanding needs of the internal lines of business with more innovative solutions? Read More »
Tags: ACI, Cisco Data Center, cloud, operational efficiency
Guest post from Lori Mac Vittie (@lmacvittie) from F5 Networks
How you provision all the network things matters
Polymorphism is a concept central to object-oriented programming. The notion of polymorphism is used to extend the capabilities of a basic object, like a mammal, to specific implementations, like cats or dogs or honey badgers, even though they don’t care about such technical distinctions. A good example of this is cats and dogs, which are both of the type “mammal” but that “speak” in a different voice.
Read More »
Tags: Cisco APIC, F5, OO, SDN
Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.
The Value of Big Data Integration
Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.
As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.
Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.
Integration Pattern 1 – Hadoop to Hadoop Integration
The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.
Integration Pattern 2 – Hadoop to Enterprise Integration
The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.
Integration Pattern 3 – Data Warehouse Optimization Integration
With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.
This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.
At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.
To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:
Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions
Analytics Solutions for Driving Better Business Outcomes
Join the Conversation
Follow us @CiscoDataVirt.
Learn More from My Colleagues
Check out the blogs of Mala Anand, Mike Flannagan and Nicola Villa to learn more.
Tags: Big Data, data and analytics, data integration, data virtualization, data warehouse optimization, Hadoop, UCS