The growth of large-scale data sets is starting to change big business, but enterprises need to prepare properly in order to leverage the most advantages from this burgeoning technology.
Big Data is a challenge to manage efficiently, but a major tool for competitive advantage, if businesses can analyse both structured and unstructured data.
The growing number of networked devices and applications are delivering more and more data to datacentres and enterprises are keeping hold of it, creating huge demands on storage. Apparently data growth is already much faster than Moore’s Law, traditionally a reliable measure of storage and IT growth.
Analysing data efficiently is harder, not only because of the huge escalation of data delivery but because it is being delivered via new sources, such as blogs, web comments and other information coming in as unstructured data, which can’t be analysed in the way relational databases are. The need to mine different types of content has led to new data analysis platforms, such as the Hadoop framework; the market for new tools to manage and exploit Big Data is growing.
Enterprise needs to understand the implications of Big Data and how new tools will work before embarking on a big-data initiative. Enterprises have to know what they want to find out from their data and then deal with how to get that out of what has been collected.
Machine-to-machine applications may not be facing major big data problems yet, but market observers expect a Big Data “tsunami” with growth of internet-connected devices. Market observers anticipate this challenge is coming fast and will have an impact on M2M at the network, application and storage layers. With the arrival of the Big Data challenges, it is predicted that major bottlenecks can appear at the network, application and storage layers.
The Big Data Symposium
This important event will deliver a platform to discuss Big Data and learn from the industry experts.
Infrastructure
Will look at your opinions of data storage, what people, skills and technology you may need. The Infrastructure stream will also cover hard drives, network storage, appliances and the cloud storage and access.
Algorithms
Algorithms built on top of Hadoop and other Big Data tools should allow your organisation to segment and forecast far more accurately, whilst delivering a far better and efficient service. This will cover everything from machine-to-machine communication to predictive analytics. The real value in big data is all in how your software processes and analyses it.
Practical Big Data
How Big Data can use feedback and information to deliver new products to their customers? You will hear experts talking about how you can put Big Data to work, backed up by practical examples and evidence highlighting the benefits of a big data strategy and solutions for their industries.
Over the two-day conference, workshops and breakout sessions will cover a range of relevant subject matter:
- What can you do with your Big Data?
- How do you process and use your data, learn how others analyse data and put it to good use?
- What skills and training do you need to invest in?
- What should you be planning for in the next 12 months?
- Which technologies should you be investing in/adopting over the following 24 months?
CALL FOR PAPERS
If you have a presentation or case study which you think would be of value to our delegates, please contact us with a title and synopsis.
SPONSORSHIP
If you would like to sponsor this and/or the DataWorld Forum please contact us for opportunities and rates.
EXHIBITORS
Exhibition space and sales opportunities are available on the expo floor with DataWorld Forum. Please see exhibitor info within the website. We are happy to email details upon request.
“Wrestling big data is going to be the single biggest IT challenge facing businesses over the next two years,” said Oracle senior vice president of systems, Luigi Freguia. ”By the end of that period they will either have got it right or they will be very seriously adrift.”
