Optimizing pipelines for descriptive versus analytical workloads
Data analytics is categorized into four different types:
- Descriptive Analytics: The type of analytics that deals with the analysis of what happened and when it happened. Most BI reports, such as sales reports and trip reports, that display current and historical data points fall under this category. The analytics tasks would usually be counts, aggregates, filters, and so on.
- Diagnostic Analytics: This type of analytics also does the why part, along with the what and when. Examples include Root Cause Analysis (RCA). Apart from identifying what happened, we also delve deeper into the logs or metrics to identify why something happened. For example, you could be looking at why a certain cab route is having a dip in revenue, or why a particular type of VM is failing sooner than others by looking into the load on those machines.
- Predictive Analytics: As the name suggests, this type of analytics refers to the...