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In this paper, we explore the basic usage of PowerShell in the pursuit of automating the management of Hyper-V deployments. This paper is targeted to IT professionals who have been "GUI-bound" to their management interfaces and have been working with or are embarking on the journey of Hyper-V administration. We'll explore the usage of Hyper-V specific cmdlets with the intent of ultimately being able to include multiple cmdlets in a "script" to allow for pushing one button and accomplishing the combined actions of many multiple mouse clicks in the GUI. No more repetitive tasks!
A range of factors can influence the data center you choose. You should consider all of the factors listed in this white paper before deciding where to place your servers.
Like it or not, Internet of Things (IoT) is upon us. There are a number of factors that will impact its adoption rate, and the inevitable privacy (or lack of) discussions will likely happen sooner than later. This is going to change the world as we know it, in many cases for the better. But we will need to keep an eye on the extent to which it invades our personal lives if it is going to be the positive force it has the potential to be.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.
Discover how Network Functions Virtualization (NFV) will revolutionize IT and change the way you think about network connectivity and perhaps even application development. This white paper is written for networking professionals but it may offer valuable insight for those in cross-functional roles such as DevOps, server virtualization, and data center management.
Amazon Web Services (AWS) offers increased agility, developer productivity, pay-as-you-go pricing and overall cost savings. But you might wonder where to start, what pitfalls exist and how can you avoid them? How can you best save time and money? Learn what you need to know and where to start before launching an AWS-hosted service.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).
Learning how to program and develop for the Hadoop platform can lead to lucrative new career opportunities in Big Data. But like the problems it solves, the Hadoop framework can be quite complex and challenging. Join Global Knowledge instructor and Technology Consultant Rich Morrow as he leads you through some of the hurdles and pitfalls students encounter on the Hadoop learning path. Building a strong foundation, leveraging online resources, and focusing on the basics with professional training can help neophytes across the Hadoop finish line.
Here are some secrets, tips, and tricks for virtualizing your datacenter. We want to introduce some best practices for virtualization, while not being too biased towards one virtualization vendor or another. We'll use some common examples of products and tools that work with VMware's vSphere and Microsoft's Hyper-V, but with an eye toward virtualization in general, and not the specifics of any of the capable platforms that could be used). We will assume, however, that bare metal hypervisors, in other words virtualization platforms where the hyper visor is the OS, will be used as opposed to running a hypervisor on top of an existing general-purpose operating system (which is great in a lab, but terrible for data center projects).