One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance ...

Big data is commonly associated to complex analytical tasks. The complexity is prevalently due to the data context. When such contexts appear vaguely defined, it is hard to decide what analytical ...

Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

and Big Data surveillance is an effective way to detect actionable security threats. Data analytics is a subject of learning from data,of measuring, controlling, and communicating uncertainty, and of ...

Data is the lifeblood of decision-making and the raw material for accountability. Today, in the private sector, analysis of big data is commonplace, with consumer profiling, personalised services ...

This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand ...

Data analytics is a fast-growing and high-demand skill that can open up many opportunities for career advancement in a large organization. However, it can also be challenging to navigate the ...

As organizations increasingly rely on big data analytics, the need for efficient query processing and optimization has become paramount. With the use of sophisticated data structures, distributed real ...

Handling large datasets in data analysis is a common challenge that can overwhelm traditional processing methods. As datasets grow in size, the need for efficient processing becomes critical to ...