The recent growth in the demand for scalable applications from the consumers of the
services has motivated the application development community to build and deploy the …

Recent years have witnessed the booming of big data analytical applications (BDAAs). This
trend provides unrivaled opportunities to reveal the latent patterns and correlations …

Big data frameworks such as Apache Spark is becoming prominent to perform large-scale
data analytics jobs in various domains. However, due to limited resource availability, the …

Cloud Computing offers the avant-garde services at a stretch that are too attractive for any
cloud user to ignore. With its growing application and popularization, IT companies are …

Hadoop is a distributed computing system widely used for big data processing in various
domains. As the data volume continues to increase rapidly, Hadoop systems have become a …

This chapter presents software architectures of the big data processing platforms. It also
provides in-depth knowledge on resource management techniques involved while …

Analyzing a vast amount of business and user data on big data analytics frameworks is
becoming a common practice in organizations to get a competitive advantage. These …

Nowadays, deployment and operation of big data analytics applications (BDAAs) in cloud
are increasingly becoming a trending practice. These applications offer organizations the …

The trade-off among individual privacy, data utility and data feature of service has been a
great concern when designing and evaluating privacy preserving schemes in trajectories …