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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.
While IT professionals are most likely to hold certifications in CompTIA and Microsoft, a greater percentage are pursuing credentials in AWS and Cisco in 2019. Here is a list of the five most sought-after IT certifications this year.
With skills gaps plaguing the industry, these 10 skills are must-haves for all IT departments. It’s no coincidence that these skills make up a large percentage of the IT skills gap across the industry. Decision-makers are struggling to fill these job roles. The positions also pay well because of a lack of qualified professionals. If you’re looking to make an IT skills investment or start a new career path this year, these are the areas to consider.
Based on survey responses from the Global Knowledge 2019 IT Skills and Salary Report, this year’s highest-paying certifications reveal a strong emphasis on particular topics, such as cloud computing, cybersecurity, networking and project management. In fact, cloud and project management dominate the top five spots.
Global Knowledge subject matter experts predict the top trends for 2019 in cloud, cybersecurity, networking and IT training.
Here are 12 main IT challenges for information technology management and staff. Since each organization is unique in how it functions and where it places its priorities, these are offered in no particular order. The top IT issues include new technology, cloud, big data, virtualization, BYOD and BYOA, shadow IT, boomers, energy efficiency, user systems, interoperability, creating value and social networks. After a brief comment on each IT challenge, you’ll find one or more suggestions for dealing with that situation.
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.