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Certifications matter. A lot. That’s one of the major takeaways from the Global Knowledge 2018 IT Skills and Salary Report. The benefits, both personally and organizationally, are undeniable—certified professionals are more effective, complete tasks faster and are more sought after.
As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.
The popularity of DevOps has skyrocketed in the last few years and there’s a reason why—it can make a huge impact by bringing people, process and technology together. IT professionals and organizations are finding collaboration and continuous improvement easier than ever.
Despite a growing awareness and preparation for distributed denial-of-service (DDoS) attacks, the overall arc of DDoS attacks is not weakening, but actually gaining more attention from the companies and personnel who have experienced these threats first-hand.
With blockchain constantly in the news, business leaders are not only asking themselves what it is but most importantly, what’s in it for me and my business. If you’ve asked those questions, this webinar is for you! In it you will not only learn what blockchain is, but understand its impact and potential for your business. We will demonstrate some of its immediate use cases in technology, business, and enterprise products and institutions.
In the digital age, people and intellectual property have supplanted physical assets as the most important criteria for determining the value of an organization. It is the employees who develop the next big product or improve the practices, processes, services and internal culture that add significant value to an organization.
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.
Are you struggling to analyze and present your organization’s data in a meaningful and engaging manner? Is Excel no longer enough for you? Microsoft Power BI just may be the solution you need. Power BI is a powerful new analytics tool used to evaluate data and share insights. This one-hour webinar will show you how to use your data to create dashboards using your data. You’ll be able to provide business users a 360-degree view with their most important metrics all in one place, updated in real time, and available on all their devices. Plus, see how you can install additional visuals for more engaging and complex reports.
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.