Database Reference
In-Depth Information
There are several things to consider with Big Data Analytics projects to ensure the
approach fits with the desired goals. Due to the characteristics of Big Data, these
projects lend themselves to decision support for high-value, strategic decision
making with high processing complexity. The analytic techniques used in this
context need to be iterative and flexible, due to the high volume of data and
its complexity. Performing rapid and complex analysis requires high throughput
network connections and a consideration for the acceptable amount of latency.
For instance, developing a real-time product recommender for a website imposes
greater system demands than developing a near-real-time recommender, which
may still provide acceptable performance, have slightly greater latency, and may be
cheaper to deploy. These considerations require a different approach to thinking
about analytics challenges, which will be explored further in the next section.
