Apache Hadoop is an emerging technology that was designed to address the specific requirements of Big Data. It can deal with petabytes of structured and unstructured data. The technology was developed by Yahoo! in 2005 and it got its name from a toy elephant. However, Hadoop does not work alone. Rather, it is part of … Continue reading Hadoop as the Backbone of Big Data Technologies
Because customer relationship constitutes an important part of any strategic decision-making process, shifting towards Big Data technologies would enable executives to keep up with customer service expectations. A top concern for them is how to achieve faster access to data in order to overcome the many obstacles they would encounter. Typically, data in organizations can … Continue reading Obstacles to the Adoption of Big Data
There’s some great conferences coming up in this domain relating to big data in healthcare use cases. Some of these there will be BDE representation, but all are relevant to the challenges on using big data in the health, demographic change and wellbeing societal challenge. So, if you want to understand more about big data and how it relates to our use cases then please consider coming along to these:
- BioData World Congress 21-22 October 2015 at the Wellcome Trust Genome Campus in Hinxton, Cambridge “Genomics, big data and bioinformatics mark the start of the journey, personalised medicine is the end goal. How we get there will depend on whether we can get useable intelligence from the data – and then acting on it. “
- Open Bridges for Life Science Data 17-18 November 2015 at the Wellcome Trust Genome Campus in Hinxton, Cambridge “Join us to discuss the latest advances in the technical infrastructure behind large-scale data sharing in the life sciences, and the interoperability of data resources supporting biological, medical, translational and clinical research.”
- Target Validation using Genomics and Informatics 8-10 December at the Wellcome Trust Genome Campus in Hinxton, Cambridge “This meeting will bring together researchers based in academia and industry to focus on the opportunities and challenges for genomics in drug discovery”
All are very relevant to the challenges of big data in this domain, and particularly the role that data variety plays in this setting. These themes are further explored in a recent blog post by Timothy Danford here which highlights some of the issues and challenges in working with big clinical data at the moment. We can’t solve all of this in one project, but clearly the development of standards and ontologies are vital for progress in this domain.