Hitachi Data Systems has predicted that in 2015, the market will see enterprises deploy their critical legacy applications into a hybrid cloud infrastructure.
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The internet of things could be very helpful to organizations or bury them under the weight of operational data from a herd of devices, their software, and their applications. Glassbeam believes its SCALAR is the tool that will make sense of it all.
CA Technologies has advised that in order for enterprises to deal with the move to the application economy, they need to prepare for the unwired enterprise, ambient data, and API-assembled applications.
Its approach isolates applications and their associated data so they can 'float' across multiple locations.
IT vendor launches one-stop portal offering third-party cloud applications and services running on Azure, and inks partnership with SingTel to enable Asia-Pacific customers to move their data and workload between various cloud environments.
Oracle to open two cloud datacentres for customers who want their applications and data to stay on European soil.
MIT professor Alex Pentland outlines his theories on how good ideas arise and spread, and how sensors and big data analysis can deliver better social outcomes.
MemSQL's CEO sees in-memory technology as the best way to enable real time transactions and analytics applications. He also sees this as the basis for extremely fast big data solutions.
The company's flagship technology enables business teams to analyze data from multiple applications and cloud services.
The combined impact of cloud, mobility and big data on enterprise applications has piqued the market’s taste for speed and agility. Now, enterprise software vendors big and small are racing to feed the market’s growing appetite.
This offers AWS customers in the region a variety of security modules, such as data encryption, firewall, anti-malware, web reputation and integrity monitoring, and compliance controls.
Data collected through mobile applications is putting pressure on companies to upgrade their legacy infrastructures to the cloud in order to support and service the information that is coming through.
Increased regulation and the emergence of specialised risk managers are among factors driving the governance, risk and compliance market, company says.
Often the focus of the industry is on the tools used in big data applications. Revolution Analytics believes that we need to remember the human element too.
In a world where mobility and service-oriented access to cloud-based applications and data becomes the established computing paradigm, the politics between the Great Houses of the Internet becomes more complicated than you can ever possibly imagine.
One of the challenges of using Cloud-based big data or media applications is moving big files and objects into the cloud. IBM acquired Aspera just to address this issue. Signiant, long a player in broadcast and other media, says don't forget us.
Microservers are the next low-cost trend for the data center, but potential applications are often misunderstood. Here's how five companies are using microservers in their daily operations.
The REST versus full-blown SOA argument comes up again, this time pertaining to big data
Today's Web-base applications need to be both interactive and work in real time. The hypertext transfer protocol was designed as a "call and response" tool to transfer static data. Kaazing thinks that it has a better way.
Called Vikaspedia, the portal is part of the government's efforts to make information more accessible. For a start, It has data on health, agriculture, education, social welfare, energy and e-governance.
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