Choosing a career in technology turned out to be one of the best decisions of my life. At one time, however, it seemed counterintuitive to enter such a male-dominated industry. I’m not an engineer. I don’t have a degree in computer science. The only traditional tech skill I possessed was a small knowledge of HTML programming language, which I at one time used to put up static web pages. Today, that skill is useful only for editing blog posts.
What I was trained for was design. I moved into technology because it offered me a fresh way to leverage those talents while having a bigger impact. As a designer, I was taught to understand the context of a problem and to generate insights and creative solutions. I switched from a career in print design because technology was providing exciting new ways to reach people. I found it fascinating and wanted to be a part of it.
Apparently, I’m in the minority. A Forbes article cited research from Maria Klawe, a computer scientist and president of Harvey Mudd College, in listing some of the main reasons women don’t choose tech careers. Many believe that they won’t find a career in tech interesting, while others fear they won’t be good at it. A third concern is working in such a predominantly male bastion.
I have to say that my experience on all three counts has been just the opposite.
Retail success has always been about delivering on the “4 Rs”: getting the Right products to the Right place at the Right time and for the Right price. While that success formula remains valid, technology-enabled advancements promise to disrupt how — and how well — retailers will be able to deliver on each element.
“Omnichannel” is a theme that has dominated retailers’ mindshare the last several years as digital influence and mobile connectivity become bigger and bigger elements in the shopping journey. Now emerging are the Internet of Everything (IoE) and Big Data analytics. While pervasive IoE connectivity generates a deluge of data, new analytics tools are helping to turn this raw data into actionable insights. The mashup of omnichannel, Big Data, and IoE is positioned to drive new operational benchmarks through a focus on the retail industry’s new “4 Ps of Performance”: Precision, Personalization, Prediction, and Platforms.
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)