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Everything You Need to Know About the CISSP Exam Changes

Article | March 20, 2019

The CISSP (Certified Information System Security Practitioner) certification exam update in 2018 included a modest revision of the topics and a significant change to the testing process. Preparing for the CISSP exam has become more challenging. Here's everything you need to know about the changes.

CISSP Certification is an Indicator of Cybersecurity Expertise

Article | March 14, 2019

(ISC)2’s CISSP (Certified Information System Security Practitioner) is a widely desired indicator of cybersecurity knowledge, experience and excellence on the resume of many IT professionals. Learn how to prep for the most comprehensive and in-demand cybersecurity certification.

Top Five Big Data Architectures

Article | Aug. 02, 2018

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.

How to Build a Pluggable IoT Pipeline in AWS

White Paper | July 23, 2018

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 Future is Now with AWS Certifications

Article | June 15, 2018

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.

Understanding Google Cloud Platform: Architecture

White Paper | Nov. 20, 2017

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.

Cloud and Your Job - What's Next For IT Professionals?

Webinar – Recorded | July 27, 2017

The change we have been talking about for years is here: IT Departments are being torn apart and reassembled in new and interesting ways, as one by one companies make their move to the Cloud. As predicted, IT Pros are being asked to take on new and different roles and to be more involved in the business. In this session, we will look at some of these new roles; what’s working, what’s failing, who is succeeding and who has been left behind. Being an IT professional today is exciting as it is scary. There is lots of opportunity; but so many gaps to fall into. It is time to take inventory and ask yourself: are you well positioned to succeed? Related: Ten IT Skills on the Brink of Extinction

10 Ways the Cloud is Changing the World

Article | July 13, 2017

Let's look at 10 ways the cloud will change (and to a large degree already has changed) the world.

Virtualization Terms You Should Know

Article | June 23, 2017

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

A Toolkit for Project Time Estimation

White Paper | Jan. 06, 2017

Resource management is always an issue in any project, especially when the stakeholders from whom we need time have operational duties to perform.  If our requirements team was at our disposal 100 percent, always completed activities on target, and worked a full eight hour day without distraction or a loss of productivity, then estimating time would be simple. In this paper, we explore standard approaches to time estimation, the dangers of multi-tasking, and estimation alternatives, which consider work habits and productivity norms.