In the first part of this chapter we illustrate how a big data project can be set up and
optimized. We explain the general value of big data analytics for the enterprise and how …

For more than a decade,“big data” has been an industry and academia buzz phrase. Over
this time, many companies adopted Apache Hadoop and Spark frameworks for their …

Energy efficiency in a data center is a challenge and has garnered researchers interest. In
this study, we addressed the energy efficiency issue of a small scale data center by utilizing …

Many real-world data are not only large in volume but also heterogeneous and fast
generated. This type of data, known as big data, typically cannot be analyzed by using …

As a popular open-source framework for big data processing, Hadoop Yarn has been widely
used by large internet and e-commerce companies such as Amazon, Alibaba, and …

Co-scheduling of jobs in data centers is a challenging scenario where jobs can compete for
resources, leading to severe slowdowns or failed executions. Efficient job placement on …

The ability to accurately simulate and predict the metrics (eg performance and energy
consumption) of data management systems offers several benefits. It can save investments …

In recent times, the commodity Single Board Computers (SBCs) have now become
sufficiently powerful that they can run standard operating systems and mainstream …

High-velocity data imposes high durability overheads on Big Data technology components
such as NoSQL data stores. In Apache Cassandra, a widely used NoSQL solution with high …

Digital forensics is the process of gathering, examining, and presenting digital evidence from
devices like computers, smart phones, and cameras with supporting documentation …