Archive for the 'Big Data' Category
One of the big requirements in healthcare today is the requirement for Vendor Neutral Archives. This is the ability to store medical images from different vendors in a way that enables access to the data in a vendor neutral manner by other systems. This requirement arises because different medical image vendors have sold their systems [...]
There are basically three types of data. First there is business data that is generated by business processes and is usually stored in a structured repository like a database. The next type is human data or data that is generated by people to communicate and share information with other people, this type of data exploded [...]
When I am not travelling, I like to unwind before I go to sleep by watching recordings of real life TV mysteries like 48 Hour Mystery. The other night it was about a man who was hacked to death and wrapped up in a tarp in his garage. No one knew who did it until [...]
Awhile back I blogged about the value of big data and how it was being implemented in Liberia to improve the nutrition of nursing mothers and their new born and young children.
Extending my series on big data dimensions around volume, velocity, variety and value as defined by IDC and Gartner, this post is about value. How do we get value out of big data. In a previous post I referenced a small project in which the value of data is being realized through improvements in nutritional [...]
There are many examples of how big data brings value to companies large and small. Collecting data from new sources and correlating the data to generate information that helps grow the business and provide a competitive edge. I will be providing several examples of this during my series on big data. However, the value of [...]
Last month Hitachi announced enhancements to HCP, which is a major new release of our Hitachi Content Platform. There were some major enhancements which were covered by Michael Hay in HCP and HDI, A Monster Release and by Ken Wood in HCP Announcement with an Archiving Angle on the Techno Musings blog.
In past posts we talked about Big Data Volume and Velocity requirements and how they could be addressed with Hitachi Data Systems block, file and content storage. Today we will be looking at big data variety.
This morning I accompanied a young person to the Superior Court in San Jose. This Court is located at 99 Notre Dame in San Jose. Once we went through the metal detectors we joined a long line of people in a crowded waiting room. What surprised me was the display along the south wall, which [...]
Referring back to my last post, I am continuing my series on big data where we are looking at the dimensions of big data: volume, velocity, variety and value, and what we need to do to address them. The first dimension has to do with the “big” in big data – volume.