Data warehouse oracle example
It is normal to confuse both terms, since they are concepts that measure quantifiable values within the company and, in addition, they are related to each other. However, they are not the same thing and it is important to know the differences between the two, since their correct use influences business decisions.
In this text we will see what a KPI is, what a metric is, what the differences between the two are, and finally, we will show some examples to clarify the concepts and better appreciate the differences.
It is undeniable the great advantages for an entrepreneur or manager to work with KPIs that give an overall view of the company and show how close or far it is from achieving the objectives set.
Another of the main advantages offered by the use of KPIs is the speed of decision making. By showing the current state of the company, quick actions can be taken to correct errors, adjust strategies and take advantage of opportunities and trends. In a market as competitive as the current one, having a faster reaction speed and being ahead in decision making is a differentiating element.
Data Restore ‘ VMware Virtual Machine Data Restore ‘ How to Recover VMware Virtual Machine Data ‘ Recovering VMware Virtual Machines on ESX Server Systems using vCenter Server Systems
The recovery process allows you to use vCenter Server to recover VMware virtual machines on ESX server systems using vCenter Server systems. The following actions can be performed using vCenter Server systems to facilitate recovery operations of this type:
Object Storage is increasingly used as a data lake, where enterprises store their digital assets for processing through analytical frameworks and pipelines to leverage business information.
To meet longer-term data storage needs, such as compliance, audit and data logging mandates, OCI Archive Storage uses the same APIs as Object Storage to simplify configuration and integration, but at one-tenth the cost. Data integrity is monitored, and verified to be automatically remediated and encrypted at rest.
With OCI Object Storage, stored objects are automatically replicated to different error domains or availability domains. Customers can combine replication with lifecycle management policies to automatically replenish, archive and delete objects.
Through easy-to-define policies organized by logical groups of users and resources, OCI Identity and Access Management controls not only who has access to OCI resources, but also which specific resources and the type of access that has been granted. Customers can manage identities and grant access using existing organizational hierarchies and federated directory services, including Microsoft, Okta and other SAML directory providers.
Data warehouses offer a unique and global advantage: allowing organizations to analyze large amounts of variable data and extract meaningful value, as well as maintain a historical record.
As data warehouses became more efficient, they evolved from information warehouses supporting traditional BI platforms to more open analytical infrastructures supporting a wide variety of applications, such as operational analytics or performance management.
Today, artificial intelligence and machine learning are transforming almost every industry, service and business asset – and data warehouses are no exception. The expansion of big data and the application of new digital technologies are driving a change in the requirements and capabilities of data warehouses.
ODSs only support day-to-day operations, so their view of historical data is very limited. While they work very well as current data sources and are used as such by data warehouses, they do not support advanced queries of historical data.