HOw this course useful in  my job duties 1)Business intelligence , 2)Data mining , 3) Digital forenic , 4)Operational excellence, 5)Block chain development, 6)organizational leader & Decision making Job duties 1)Monitoring and managing performance of ESX/ESXi 5.5, 6.0 ,6.5,6.7 servers and virtual machines. 2)VMware horizon view 7 administration desktop pools, user allocation recompose VDI’s and Snapshot Image creation. 3)Decommission and commission Windows 2008R2/ 2012R2/2016 Servers and Windows 7/10 VDI’s in VMware and SCVMM Hyper-V Environmen 4)Monitoring and managing performance of VMware Realize Operation (VRops)/VcenterOrchestratorVmware and SCVMM Hyper-v Environemnt 5)Provides operational support for SCCM environment, storage and servers 6)Installing Symantec SSL certificates and CA certificates on Windows 2008 R2/2012R2/2016 servers 7)Deploys Windows Servers 2008R2/2012 R2/2016 and Virtual desktops windows 7/windows 10 with SCCM OSD image using PXE boot 8)Build, manage and administration of VMware ESX server infrastructure in Multisite/multi Datacenter environments 9)Various team and end-users to troubleshoot and resolve issues please  take one job duites and take on  subject and please  right on that topic for example   if you choose.   my first  job dutie.  and.  if you choose subjedct  Business intelligence ,  how my first job duties is useful  in this subject brief explanation Purchase the answer to view it

One of the job duties mentioned is the monitoring and managing performance of ESX/ESXi servers and virtual machines. This duty can be directly related to the subject of Business Intelligence. Business Intelligence is a process that involves gathering, analyzing, and interpreting data to help organizations make informed business decisions. In the context of the job duty mentioned, the performance data collected from the ESX/ESXi servers and virtual machines can be utilized for business intelligence purposes.

Monitoring and managing the performance of ESX/ESXi servers and virtual machines involves collecting various performance metrics such as CPU usage, memory utilization, disk I/O, and network traffic. These metrics provide valuable insights into the performance of the infrastructure and can be used to identify any bottlenecks or performance issues.

In the field of Business Intelligence, data is crucial. The performance data collected from the ESX/ESXi servers and virtual machines can be considered as a valuable source of data. By leveraging this data, organizations can gain insights into the usage patterns, resource allocation, and efficiency of their virtual infrastructure. This data can then be integrated with other business data, such as sales data or customer data, to provide a comprehensive view of the organization’s operations.

For example, by analyzing the CPU usage data collected from the virtual machines, organizations can identify trends and patterns in resource utilization. This information can be used to optimize resource allocation and improve the overall performance of the virtual infrastructure. Additionally, by correlating the performance data with business data, such as sales data, organizations can identify the impact of resource allocation on business outcomes. This can help them make informed decisions on resource allocation and capacity planning.

Furthermore, the performance data collected from the ESX/ESXi servers and virtual machines can be used for predictive analytics. By applying advanced analytics techniques to this data, organizations can forecast future resource requirements, identify potential performance issues, and optimize resource allocation proactively. This can help organizations avoid performance bottlenecks and ensure smooth operations.

In conclusion, the job duty of monitoring and managing performance of ESX/ESXi servers and virtual machines is highly relevant to the field of Business Intelligence. The performance data collected from these systems can provide valuable insights into the efficiency and effectiveness of the virtual infrastructure. By leveraging this data, organizations can make informed decisions, optimize resource allocation, and improve overall business performance.