34 Results Found
Global Knowledge subject matter experts predict the top trends for 2020 in IT training, Microsoft, Cisco, AWS, cybersecurity and more.
Looking ahead at new and emerging certifications provides insight into the areas deemed valuable in the IT industry. If you are an early adopter or in a position where you need to show that you have the bleeding-edge expertise of a technology, this list of recent and upcoming certifications is for you.
Google Cloud certifications had a breakout year according to the Global Knowledge 2019 IT Skills and Salary Report. GCP Cloud Architect is the top-paying IT certification in North America and Europe, the Middle East and Africa (EMEA), while Google Cloud salaries are 34% higher than the average for North America. As more IT departments adopt multi-cloud strategies, Google Cloud skills are increasing in popularity.
In 2019, Microsoft has thoughtfully adapted their curriculum to boost Azure skills adoption. And to further speed up Azure consumption, Global Knowledge has stepped in to support Microsoft’s evolution and their new strategy. We’re fighting change with change. And here’s how we did it.
Cloud computing has risen from relative obscurity to the No. 1 tech area of interest in the world, according to the 2017 Global Knowledge IT Skills and Salary Report.
Cloud adoption continues to soar. In fact, worldwide Infrastructure-as-a-Service (IaaS) public cloud services grew by 29.5 percent in 2017, according to Gartner. If it’s not in a company’s current plans to utilize cloud technology, it most certainly will be (or should be) in the next couple of years.
It’s been about 10 years since public cloud offerings like AWS opened up the world of big data analytics. This post examines the top five most useful architectures used for big data stacks to learn the sweet spots of each.
Behind various Google services lies the powerful Cloud AI, a neural net-based, machine learning technology that Google has perfected for use with services like image search and voice recognition. Here are five ways you could use Cloud AI to improve your business.
A longtime leader in data analytics, Google continues to earn their position by continually improving their data analytics offerings. Now, with Google Cloud Platform (GCP), you can capture, process, store, and analyze your data in one place, allowing you to change your focus from infrastructure to analytics that informs business decisions. However, you can also use GCP Big Data tools in combination with other cloud-native and open-source solutions to meet your needs. Below is an overview of GCP Big Data Tools and how you might utilize them to improve analytics.
Google takes security to a whole new level thanks to their years of experience as one of the most popular targets on the internet for would-be hackers and denial of service bots. This led Google to build a sophisticated security infrastructure the likes of which few companies or organizations can claim. Google approaches security holistically and involves everything from the physical data centers, to the data pipelines between them, down to the training of each employee that is responsible for managing the infrastructure.
Moving capabilities to a cloud provider such as Microsoft Azure is pretty straightforward. However, given the depth and breadth of service offerings provided by Azure, it’s easy to miss the product’s less obvious capabilities. If you're implementing a Microsoft Azure cloud platform, you'll want to consider these five services to save time, money, and your sanity.
If you’re looking for serious change, why not focus on your IT professional career? How much can you really learn from a five-point “Hack” list that speaks to everyone, yet no one? Not much. Too many articles rattle off a quick hit list. After reading this goal-setting guide you’ll be able to develop a game plan to bring successful change in your professional life.
Data center return on investment – which is measured by time to cost savings, time to revenue, time to break even, etc. – has proven more elusive than expected. But that doesn’t mean it isn’t attainable. To understand the genesis of the bad and ugly parts of data center ROI, we need to recognize the good parts and appreciate why so many companies are putting their faith in new and unfamiliar technologies.
You might already know what cloud computing is, and you might already be implementing it into your business, but are you able to have a conversation about it? The lingo surrounding this newer technology can be a bit, well, cloudy. Here are just some of the terms we keep hearing as cloud computing spreads from organization to organization.
There is a wide-range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). In the first part of this series, we will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
As with all technologies transforming the way organizations operate, it’s expected that roles will also evolve. Cloud computing already has and will continue to change traditional IT roles and functions for years to come. We'll begin our overview of the transformation of cloud job roles with a look at some of the top cloud computing roles and responsibilities for architects, engineers and developers.
We spoke with Doug Cutting about his role with Cloudera and learned more about Big Data, training options for IT professionals interested in Big Data, and how Cloudera compares to Red Hat.
Having a breadth and depth of skills -- especially on new and emerging technologies -- can only weigh in your favor.
Get an insider’s take on 2017 cloud computing, DevOps, and Internet of Things (IoT) trends from an industry expert.
Projects are a social endeavor. Traditional project management approaches have shied away from the social advantages a more agile project environment brings. By nature, we are storytelling, pattern seeking and social people. We need colocation to shine truly in a project environment.
Accessing cloud-based resources, whether they be IaaS/PaaS/SaaS-based, is very convenient. With a browser and Internet connection, you are up and running. No driving to your work office, no need to log into the corporate network. Just open up your web browser and go. This convenience, however, comes with a security risk. All of your business work is conducted over an insecure communication network. Unlike your office network, where the network link between you and the data center is under corporate control and is physically secure, the cloud access link is over the Internet.
It’s common knowledge that earning an AWS certification is a great way to qualify your experience in the eyes of your peers and employer and to increase your organization’s proficiency with AWS-based applications. However, there is another benefit that has not be quantified until now. Results from the 2015 IT Skills and Salary Survey conducted by Global Knowledge and Windows IT Pro revealed that the average pay of four AWS certifications exceeded $100,000. While there is no guarantee that a certification equals a six-figure salary, it certainly couldn’t hurt.
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.
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.
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:
In the fourth of his five-part series, Eric Strause explores the hardware and application benefits inherent in a cloud-based architecture.
I attended a meeting this week with a customer of mine and a potential new vendor. The new vendor was there to pitch his configuration and setup service offerings for a specific ITSM toolset. My customer has already had one bad experience with an ITSM tool configuration vendor who promised one thing and delivered much less. He ended up with a tool that’s minimally used and not configured to match his business needs. He’s looking for a vendor that can understand his business needs and priorities and quickly help him get his tool configured and working in a short time frame. Then the topic of standard changes came up. My customer asked for examples of standard changes. The vendor responded, “Server reboots are an example of standard changes.”