Small businesses have less resources to achieve the same results expected of larger organizations. This gives them a different perspective on knowledge, expertise, and results. How they approach all three is what sets them apart.
Hitachi Data Systems (HDS) has unveiled solutions and services to help enterprises adopt cloud computing to address the oh so familiar demands of big data, access, etc. This interesting news was found on Silicon India in their article, “Hitachi Unveils Cloud Solutions And Services.”
Combining their cloud-based storage with the voice recording skills of Orange Trading Solutions, Bloomberg can now integrate voice data into the Bloomberg Vault and produce electronic records in almost real time. Forbes brought this interesting information to our attention in their article, “Watch Your Tone — Bloomberg Vault Now Archives Voice Too.”
Metadata is fast becoming a household term with the news constantly using it alongside the NSA scandal and inflamist news, conspiracy theories, and the like. But does the average person understand what metadata is, what it can and can’t do? Most of all do they understand the difference and the importance of big data?
Vinton Cerf is considered one of the geniuses, or computer scientists, who turned on the Internet in 1983. Imagine the amount of data created since that time and you wouldn’t think much would be lost or unreachable in the future. But he disagrees. Cerf warned that digital things created today — spreadsheets, documents, presentations as well as mountains of scientific data — won’t be readable in the years and centuries ahead.
The massive growth in the volume of data being created is no surprise to anyone. Most people think of documents, photos, and programs as the main contributor to this mountain of data, but don’t forget about digital video and broadcast video. For instance, it has been reported that the television program Deadliest Catch creates almost 1PB of digital film per episode.
Military intelligence is teaming up with the science and experts of ontology to understand the challenges and solutions for storing big data. An April 18 workshop at the University at Buffalo (UB) will explore this big data conundrum, as well as related topics.
Unstructured data is becoming more prevalent, and few organizations aren’t struggling with how to handle this growing problem. Microsoft’s SharePoint document repository was designed to provide content collaboration and version control, but unfortunately, as the number of users increases, so does the amount of data that is stored in SharePoint.
In Australia, the Victorian Department of Human Services has been criticized for their recordkeeping practices by the state ombudsman. This came about from the frustration of former wards of state trying to access their historical records.
Conversations continue to revolve around the rapid growth of data creation and storage. Organizations are looking for ways to process and access data at a faster pace, all the while improving customer service. Part of the challenge includes maneuvering through unstructured data, massive amounts of unstructured data.