The Cloudera Sessions Roadshow helps companies to navigate the Big Data journey. As Hadoop takes the data management market by storm, organizations are evolving the role it plays in the modern data center. This disruptive technology is quickly transforming an industry, the value it adds to the modern data center, and how you can leverage it today. When combined with Cisco Unified Computing System™ (Cisco UCS®), the joint solution helps you exploit the valuable insights contained in your data to drive meaningful change in your business.
The Cloudera Sessions roadshow is designed to help organizations to identify where they are on their Big Data journey and to navigate how to stay the course in a low-risk, productive way. The Cloudera Sessions’ attendees will benefit from hearing about Cloudera and its partners’ experiences with real-world deployments, as well as those of Hadoop users who plan and manage them.
Cisco is partnering with Cloudera to offer a comprehensive infrastructure and management solution, based on the Cisco Unified Computing System (UCS), to support our customers big data initiatives. As a proud sponsor for this event, I would encourage you to join us at one of the following scheduled stops to learn more about our joint solutions for big data:
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 »
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)
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
Improved Risk Management
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.
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.