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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).
Organizations are moving strongly toward Bring Your Own Device (BYOD) access, bringing outsourced activities back in-house, and finding ways to make use of the growing amounts of data flowing in from many new sources such as social media. These factors create an increasing shift in required and desired skills showing up in IT departments. Hiring and salary surveys, such as the 2014 IT Skills and Salary Survey from Global Knowledge and Windows IP Pro, TEKsystems' 2014 Annual IT Forecast, Foote Research Group's 2014 IT Skills and Certifications Pay Index, Computerworld's annual Forecast survey, Robert Half Technology Survey, and information from the US Bureau of Labor Statistics, Futurestep, Mondo, GovLoop, and Dice have presented a developing picture of the IT skills that will be in demand in 2014. Here, in survey order, are the top 10 major skills and why they made the list.
Agile is a set of principles requiring a significant cultural shift, new paradigms in thinking and team organization. Over the years, Agile has become "productized" or in many cases "institutionalized", creating different flavours and levels of commitment among teams and organizations. Along the way, managers and team members have lost sight of Agile's principles and tried to enforce the use of certain tools and structure where they may not belong. In this one hour webinar, Perry McLeod will explain how tools such as use cases can be successful in an agile environment, provided the principles of agile are always active in the minds of the managers and the team members that are using them. Join Perry to determine whether or not making the cultural shift towards the use case method in an agile environment is the right move for you and your organization.
Although some form of virtualization has been around since the mid-1960s, it has evolved over time, while remaining close to its roots. Much of the evolution in virtualization has occurred in just the last few years, with new types being developed and commercialized. For our purposes, the different types of virtualization are limited to Desktop Virtualization, Application Virtualization, Server Virtualization, Storage Virtualization, and Network Virtualization.
VMware vCloud Director fashions the provisioning of the software-defined datacenter layer to allow for a full virtual datacenter deployment within a short period of time. A vCloud consists of many layers and can quickly become a complex architecture. Before any deployment, requirements should be defined so that the vCloud can be designed to offer those services needed. It is imperative to understand the many components of vCloud, how each vCloud construct fits, which allocation models are available, and what network options can be chosen.
Organizations of all sizes have identified the benefits of cloud-based computing, whether it’s implementing a private or hybrid cloud on their own or accessing a public cloud through a service provider. Virtualization, a key component for building secure cloud environments, offers many advantages, including higher machine efficiency due to increased utilization, energy savings, and the flexibility to build or destroy virtual machines (VMs) on demand to meet changing organizational needs. Choosing open source virtualization over proprietary alternatives can significantly increase savings. However, an open source Linux Kernel-based virtual machine (KVM) offers several benefits to organizations beyond just cost savings. These benefits include security, reliability, availability, performance, and scalability. In this white paper, we’ll look at the relationship between open source virtualization and the cloud, and explore the security aspects of KVM hypervisor technology, especially in relation to how it leverages SELinux and related capabilities for secure public, private, and hybrid cloud performance.
Cloud forensics involves exploring issues a company and its forensic examiner may face when suffering a breach of company information in the cloud. If they need to collect information from the cloud to determine what happened, to determine what was lost or compromised, for remediation, for civil litigation, or for some other action, what issues will they face? And, how can they collect the data? Although this white paper discusses many legal issues, this is not a legal "how-to" article. The purpose is to provide some insight into cloud forensics.
This white paper has three main goals. The first is to generate a better understanding of the cloud in both the business and IT communities. The second is to describe the major components of vCloud and the virtual datacenters they provide. The third is help businesses visualize and understand how vClouds could be beneficial in addressing their specific IT needs.
One of the many useful features of tunneling is to carry non-IP traffic across an IP network, and this is still the case when dealing with IPv6 traffic. This transition mechanism makes use of a configured tunnel to transport IPv6 over a native IPv4 network, which may consist of two sites or more. Unlike the previous transition mechanisms, tunneling is not monolithic; while the basic principles may be similar, the operations are different. The following chart gives a breakdown of the current, major tunneling types in use, particularly in a Cisco environment:
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.