Capgemini and HP Vertica have entered into an alliance to help enterprises modernize their data infrastructure through a combination of services and software. The two firms promise to reduce analytical process from “hours to minutes, and minutes to seconds.”
“Organizations struggle with turning massive amounts of structured, semistructured and unstructured data into business insights, cost effectively and in near real time,” said Colin Mahony, senior vice president and general manager, Vertica, HP. “We’re working with Capgemini to give our joint customers the ability to leverage Big Data insights into innovative products, services and offers that drive competitive advantage.”
Capgemini’s new services are available for clients in North America, and aim help these organizations ease the transition from a traditional database environment to big data analytics. The portfolio covers infrastructure assessment, and assistance in the improvement of performance and cost-effectiveness. In addition, the firm is offering services that guide enterprises through social media, and the process of tapping into consumer sentiment using the Vertica Analytics Platform.
The partners are touting several benefits that clients can realize by leveraging HP’s big data software, including the ability to consolidate the analysis of web interactions and historical data in the same place. The platform also features built-in library functions that can save quite a bit of development time, and compression technology that drastically reduces storage requirements.
Big data is huge, and so is the demand for the services that can unlock all this new technology’s potential. Research firm Wikibon estimates that this market will be worth well over $50 billion in 2016, and services will account for 44 percent of it. In comparison hardware sales will only account for 31 percent, and software will come in third with a 25 percent share of the market.
Latest posts by Maria Deutscher (see all)
- VMware takes its virtualization software to the cloud - August 29, 2016
- What you missed in Big Data: Identifying complex patterns - August 29, 2016
- What you missed in Cloud: A changing competitive landscape - August 29, 2016