Telefónica and Huawei have announced a partnership to launch a set of Big Data products aimed at enterprises that want to develop their own internal use cases as well as to sell data applications to their clients.
These Big Data as a Service (BDaaS) products will be marketed under the brand of LUCA, Telefónica’s data unit. Initially, the agreement provides customers four core services;
i. Hortonworks Data Platform as a service to help store, process and analyze data;
ii. Big Data Integration to migrate data to the cloud;
iii. Data Governance to control the quality and security of data; and
iv. Data Miner to help create insights from data through analytical algorithms and complex structured and unstructured data integration.
Each of the services can be self-deployed for use by the customer on-demand. They are infrastructure agnostic meaning they can be deployed over a variety of Infrastructure-as-a-Service environments.
In the first phase of deployment, Telefónica and Huawei will focus on providing these services over Telefónica’s cloud infrastructure in Latin America. Customers will benefit from Telefónica’s proximity as a single provider as well as the quality and security of its infrastructures.
This partnership with Huawei will allow Telefónica to widen its portfolio of big data and data analytics related services under the LUCA brand helping customers to accelerate the digitalization process of their businesses and be more competitive.
The suite of products will be soon expanded with new services. The agreement also provides for the future opening of an application market where partners can sell their big data and analytics applications to customers.
Elena Gil, CEO, LUCA
This agreement helps us to reinforce our Big Data tools as a service offering, enabling our clients to deploy their use cases on our cloud infrastructure.
Edward Deng, President of the Telefonica Global Account, Huawei
It is an honor for Huawei to be selected as a partner to enable Telefónica’s LUCA product portfolio. Huawei’s Universe solution is the key to realize the ambition of creating a flexible, relevant and rich ecosystem of data-centric applications.
