1010data has launched a new service called the Analytical Dataspace, which is essentially a marketplace for buying and selling data and accessing analytics applications. 1010data has been providing a cloud-based analytics service for years, but this is a chance to add value by adding data. Read more »
A major limitation of big data is that the technologies used to analyze it are not easy to learn. It doesn’t have to be that way, and technologies like data visualization and cloud-based tools target less-sophisticated users — from business users to receptionists to high school students. Read more at GigaOM Pro »
Discussions about the cloud now involve more than just the IT department. New developments in hardware architectures, more-energy-efficient data centers, regulatory concerns and simplifying analytics are all discussions currently circling through the industry. Here’s what to consider when thinking about your business in the cloud. Read more at GigaOM Pro »
Ask a VC about big data and she will probably tell you about visualization of the user interface. We’re talking about intuitive UIs that let users visually work with data using charts and tools, not algorithms. It’s hard to do right, but the payoff could be huge. Read more at GigaOM Pro »
Google sits on masses of traffic and advertising data, and has decided that it should take advantage of its expertise in building the infrastructure to handle those petabytes of information to offer a data analytics service in its cloud. Read more »
1010data says it now hosts more than 5 trillion records for its customers. If 1010data’s growth is a microcosm of the greater market, it’s no wonder there’s so much excitement around scalable data stores such as Hadoop, NoSQL databases and massively parallel analytic databases. Read more »
Cloud computing and big data are a match made in heaven. Although it’s still very early in the evolution of this combination — experts predict major investment in this area going forward — several companies have already melded the two into a variety of unique services. Read more »
Big data and Platform-as-a-Service offerings highlighted the second quarter, suggesting that we can expect to see a shift in enterprise IT practices around application development and analytics very soon. On the PaaS front, we saw new projects like DotCloud and Cloud Foundry gain incredible momentum in just a few short months. The big-data activity ranged from major new Hadoop vendors to heavy investment in flash storage that will speed the serving of data to processing engines. In other areas, we saw an uptick in cloud-computing plans from large vendors, OpenStack continued to mature and pick up both contributors and users, and Facebook caught our eye by launching an open-source project around the designs for its specialized servers and data centers. Additional companies mentioned in this report include VMware, Salesforce.com, IBM, Heroku and Calxeda. For a full list of companies, and to read the full report, sign up for a free trial. Read more at GigaOM Pro »
