Data has always been important for many (if not all) companies. Today however it is becoming increasingly easier to collect data about customers, business transactions, devices etc…, . This data enables companies to (more dynamically) optimize their business models and processes and differentiate themelves from their competitors. Before embarking on a (Big) data strategy it is important to understand what is driving this evolution and what are basic architecture building blocks to take into account when transforming into a more data driven enterprise.
Several trends are fueling the evolution towards a more data-driven enterprise: Price/performance improvements in network, storage and computing and the rise of Cloud computing , make it more cost effective to deploy large IT infrastructures and capture data. New data management technologies and products such as Hadoop (MapReduce) and NoSQL/NewSQL provide scalable and more cost effective solutions than traditional SQL databases for various classes of problems. The IT consumerization trend results in departments more actively pursuing analytics capabilities. Another important trend is the Internet of Things (IoT): The advent of cheaper sensors and improved connectivity are bridging the gap between the physical and digital world, enabling collecting data from more devices and environments. This sensorization is unlocking the potential to gather enormous amounts of data and details about almost everything.
These trends are creating new challenges and opportunities to harness and understand the data tsunamis, and leverage the analytics for decision making purposes, to better monitor, control, and understand complex systems from business dashboards to IoT eco-systems. Read More »
Tags: analytics, architecture, Big Data, Corporate Technology Group, CTG, Enterprise
In this week’s episode, Nils Swart (@NLNils) and Stace Hipperson (@stacehipperson) discuss how data becomes information via Open Daylight. Have they whiteboarded network engineer nirvana? Watch and see. More data!
This is in fact unicorns in a distance. Foiled again:
Stace Hipperson and Nils Swart own their unicorns.
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.
Tags: applications, Big Data, Chef, devops, network engineers, Open Daylight, OpenStack, plexxi, Puppet
At Cisco Live! Melbourne, I was invited to speak at the Executive Symposium to nearly 100 of Cisco’s top customers in the Australia and New Zealand region. In my talk, Gaining Insight from the Big Data Avalanche, I covered big data business opportunities and technology challenges.
To level set at the start, I opened with a definition of big data, including the typical velocity, volume, and variety seem to be the three V’s everyone hears when it comes to big data. But then I challenged the audience to consider the fourth and in fact most important V, holding back on identifying it so the audience could consider what was missing.
After an appropriate pause, I told them the most important V was value. Value is the only reason to work on big data. This value must be seen in better business outcomes such as:
- Higher Customer Profitability
- Faster Time to Market
- Reduced Cost
- Improved Risk Management
- Better Compliance
- Greater Business & IT Agility
It is interesting how people get knocked off guard by the big data buzzwords. So go back to the basics. Start by getting your business case in order. Once the value to the business is understood, juggling higher data velocity, volume and/or variety becomes an engineering problem. Certainly, a new class of engineering problem, requiring new technologies and skills, but it is a fully solvable engineering problem nonetheless.
For IT, big data is as much an organizational change challenge, as a technology challenge. Practical first steps that seem to work well include:
- Experiment with a smaller, “SWOT” team on a selected set of projects. This is a great way to introduce something new.
- Go for some quick and easy wins, rather than boiling the ocean with large-scale initiatives. That is a proven technique for gaining momentum.
- Implement a solution with revenue impact, such a next-best offer analytic to improve upsell performance or a predictive churn analytic that helps reduce customer defection. These high visibility projects will ease business funding challenges and improve executive visibility / sponsorship.
Tags: analytics, Big Data, business outcome, cisco live melbourne, data virtualization
We’re generating digital information at an exponential rate. It’s coming from more devices that are more connected than ever and getting smarter all the time.
- In 2013, global mobile data traffic stood at 1.5 exabytes per month – the equivalent of 4,100 text messages each second.
- By 2018, that will reach 15.9 exabytes per month – or 43,709 text messages each second! And 96% of that mobile data traffic will be “smart” traffic!
Welcome to the next wave of the Internet – the Internet of Everything. Imagine the amount of data we’re creating in this evolving digital world as more and more people and things connect. Technologies like cloud and mobility are fueling this growth – with the cloud as key enabler in helping us make sense of this data deluge. Global data center traffic is expected to triple by 2017, and cloud services and applications will make up 69% of that traffic.
Data itself (or simply storing it in the cloud) only gets you so far, however. The value lies in what you do with it, gaining insight and knowledge derived from data to empower your life and lead you to greater wisdom. That’s the real power behind connectivity. On a personal level, it calls for taking ownership of your “digital self,” leveraging cloud-enabled services not just for storage but to “talk” and interact with the digital world in a dynamic way and in real time. This can lead us to understand aspects of ourselves in ways never before possible – and harness actionable data to make better decisions that improve our lives.
Read More »
Tags: analytics, Big Data, Cisco cloud, CiscoCloud, cloud, data center, Fitbit, GoogleGlass, HFOBD, human face of big data, Internet of Everything, InternetofEverything, Jawbone, mobility, Scanadu, vni, wearable
Change is good. After a successful run of four years in Boston, Red Hat Summit moves to San Francisco this year from April 14-17. Red Hat Summit has become one of the premier open source events for the enterprise IT industry with tracks for both developers and business executives.
Cisco is again a Platinum Sponsor and our presence at the event continues to grow. We have a keynote, six breakout speaking sessions and five demos. We’ll have product and solution experts available to share our latest developments with Cisco UCS, OpenStack, virtual networking, and Big Data. Read More »
Tags: ACI, application centric infrastructure, Big Data, Cisco UCS, KVM, OpenStack, Red Hat Summit, virtual networking