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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.  

In this informative webinar, you will learn about the popular and overlooked ways organizations and professionals can purchase training to become more resilient. 

In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.

Many organizations have already embarked on their Agile Transformation journey, yet despite having agile methodologies in place they have still not matured their competencies to the desired level. Still, there are some unicorns who have managed to master the process and are now delivering value faster and more efficiently. Frameworks like DevOps and Scrum help organizations stay ahead of the curve by facilitating cultural transformation, adoption of a lean mindset, and increased automation.

To help you stay ahead of the game, here are ten IT skills that are on the brink of extinction.

Yes, there’s big money in AWS Certification, which tends to outpace other cloud certification salaries, but there’s more to the cloud than dollars and cents.

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.

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.

Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. 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). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.

This article defines many of the most commonly used terms in the virtualization vocabulary.