Sentence examples for big data applications and from inspiring English sources

With the proliferation of various big data applications and resource demand from Internet data centers (IDCs), the energy cost has been skyrocketing, and it attracts a great deal of attention and brings many energy optimization management issues.

The applications of big data to smart cities can be classified into two types, offline big data applications and real-time big data applications.

These requirements are identified based on the type of big data applications and the challenges of implementing these applications for smart cities.

Later it introduced the mobile piece and more recently, a series of connectors to grab data from some popular big data applications and bring it into Wave.

Technologies like Hadoop are becoming mainstream and providing a platform for more of these "native" big data applications and services to emerge and attract attention from companies that are producing this massive amount of data.

Moreover, advancements in the field of big data application and data science leads toward a new paradigm of human behavior, where various smart devices integrate with each other and establish a relationship.

Our approach of software development process in MDA will be useful for developing a big data application and a new service by "veracity" and "value" of big data because MDA provides an approach for deriving value from models and architecture.

In this paper, we develop database application model and its service for side effect prediction of drug, which is our first research goal of big data application, and for drug discovery, which finds new uses for old drugs, introducing the proposed software development process in MDA into our research process.

Big data applications designers and developers must include security and privacy policies and procedures as an integral part of the design and implementation of their applications.

These requirements can be met in terms of a λ Lambda Architecture, a useful framework for designing scalable big data applications (Marz and Warren 2015).

Mesosphere is launching an updated version of its DC/OS platform for running microservices and big data applications in private and public clouds.