Thursday, 4 July 2013 01:07
-
- {{hitsCtrl.values.hits}}
Approximately every decade, technology delivery undergoes a tectonic shift that changes the consumption of technology and the value that it can bring. Today, mobility, Big Data, and the advent of cloud computing offer new ways for IT to help organizations accelerate progress in solving their most pressing challenges—speeding innovation, enhancing agility, and improving financial management.
Cloud computing is a key component of an organization’s ability to gain unencumbered access to information technology—to access “Infrastructure Anywhere, Applications Anywhere, Information Anywhere,” or better said: “Services Anywhere.” In order to deliver on the “Services Anywhere” promise, organizations will need to think differently about IT. No longer will IT be solely a builder of internal infrastructure and services. IT will also need to obtain or use third-party and external services. The key will be understanding the unique requirements of each service, such as availability, cost, performance, and regulatory needs, and then addressing them in the most efficient and cost-effective way. This will be done by creating the right mix of on-premise and off-premise services that leverage the best of traditional IT, and private, managed, and public clouds—a hybrid delivery environment.
“HP’s is clearly the most established leader in the cloud computing space. There are already more than 1,000 HP CloudSystem users, 6,000 HP Public Cloud users, more than 130 Cloud Centers of Excellence with partners and more than 80 CloudAgile partners.
In addition, HP also does cloud hosting for more than 200 customers and more than 40% of the Fortune 100 companies use HP Converged cloud.”
Cloud Computing is a perfect match for big data since cloud computing provides unlimited resources on demand. While two years ago, Cloud computing was appealing mainly because of its “pay per use” model (ideal in tough economic times), today, it is becoming more important because it is the enabler of big data analytics.
As a quick review, big data is a collection of data sets that are so big that it is hard to collect, analyze, visualize, and process using regular software such are relational database management systems. Moreover, this data is typically unstructured. A recent study indicates that unstructured data account for at least 80% of the world’s data. This means that many companies today are making mission critical decisions with only 20% of the data they have, the 20% of data that is structured and stored in relational databases.
Now it is possible to manage this vast amount of data, structured and unstructured. When we talk about big data, we not only refer to existing data that have been collected for years. We also talk about huge amounts of data being generated because of social media, mobile devices, sensors, and other technologies. The disruption caused by the mobility explosion has reshaped the IT landscape more dramatically than any other technology since the PC revolution of the early 1980s. HP has a broad mobility portfolio, beginning with handheld devices and compatible software aimed at mobile users, and moving up to both fixed and wireless capabilities that enable users to have controlled access in BYOD environments. HP offers software tools that are strongly positioned for mobility, and in its services area, the company provides advisory and consulting services around mobile strategy.
Big Data and Mobility go hand in hand. With an increasing number of connected devices, the ‘Internet of Things’ presents us with a huge range of opportunities based on the possibility that objects are able to interact with each other. These connected devices are also building up banks of data, and this data needs to be put to good use
Big Data and Mobility go hand in hand.
Big Data is deeply correlated with connectivity and mobility – they go hand in hand. With an increasing number of connected devices, the ‘Internet of Things’ presents us with a huge range of opportunities based on the possibility that objects are able to interact with each other. These connected devices are also building up banks of data, and this data needs to be put to good use. For example, connecting cars to smart parking systems in order to reduce gas wastage, or correlating your blood pressure, sleep and activity levels to help you lose weight are just two possibilities that come with the increase of connectivity, and they rely on your data. Similarly, understanding large amounts data can be help to fuel and improve services in the mobility space. The increasing ubiquity of smartphones has meant that brands have to account for a new set of consumer behaviours, as well as their higher expectations, and Big Data can help brands to identify patterns. People want to consume more and more while they’re on the go, opening up new gaps that demand new mobility solutions.
