Using slot-based scheduling can help improve team productivity, increase staff morale, and organize your workflow. Slot-based scheduling can also be used by health care providers and other businesses. Using this method can improve communication between departments and facilitate team meetings. It can also be used to organize evaluation reviews and deadlines, as well as schedule informal meetings and consultations with employees.
The BigQuery slot estimator helps users estimate the number of slots they need to handle their workload. It also helps them model the impact of increasing or reducing their slot capacity. For example, it allows users to calculate the number of slots needed to manage peak performance periods, such as the day before a major conference, or after a new customer has been signed on. It can also be used for on-demand billing or flat-rate billing.
It also offers customers the ability to see how their slot capacity is performing in relation to historical usage data, and how changing capacity impacts job performance. For example, it can show how an increase in slots might affect the average time a job takes to process. It can also identify peak utilization periods.
It can also be used to evaluate how slots affect the cost of a reservation. For example, the table under Changes in job performance with additional slots shows estimated changes in job performance over the past seven days. It can also be used to model cost recommendations for on-demand billing.