This chapter from PMP Exam Cram: Project Management Professional, 5th Edition covers the general concepts of planning and the processes that relate to the development of project baselines.
This chapter explains how to manage information security policies, describes roles and responsibilities related to information security, identifies the components of risk management, and shows how to create polices related to information security policy, governance, and risk management.
This chapter introduces the trusted computer base and the ways in which systems can be evaluated to assess the level of security to help you prepare for the CISSP exam.
Claudia Baca walks you through the steps of how you might proceed to build your study project to help you pass the Project Management Professional (PMBOK4) examination.
Several of my recent blog posts have described materials aimed at the latest Linux+/LPIC-1 exams; here I do likewise for the latest and greatest versions of the Red Hat Enterprise Linux 7 exams for the Red Hat Certified Engineer (RHCE) and Red Hat Certified System Administrator (RHCSA) credentials.
Yes, although Software Defined Networking (SDN) and Network Functions Virtualization (NFV) have been out and about in the technology space for more than three years now, and plenty of major players offer interesting products and services in this vein, I'm still seeing enough of a gap between technology makers and service providers hawking these wares, and companies taking up such offers, to provide continuing ground for concern. This goes double for basic training and certification on SDN and NFV, where the number of options and offerings come nowhere near the number of players jockeying for advantage on this playing field.
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Hadoop is an Apache project, which means it's open source in nature. It's also a popular framework based on Java that's designed to support distributed storage, especially in connection with distributed processing of humongous data sets on generic computing clusters. As such, it's also an important element in many Big Data projects and activities. Given how popular Big Data is nowadays, no big stretch is needed to see Hadoop in the same light.