This course is designed to help you develop the skills you need to pass the Microsoft Azure DP-200 certification exam. This exam measures your ability to do the following:
Implement data storage solutions Manage and develop data processing Monitor data solutions Manage and troubleshoot Azure data solutions

This course serves as preparation for learners who seek to pass the 206 Puppet Professional certification exam offered by PuppetLabs. It focuses on Puppet 5.5/Puppet Enterprise 2018.1 Long-Term Spport (LTS) and later releases. We will be learning from the ground up, starting with the installation process for Puppet Enterprise (PE), and then work through each component as we would when applying Puppet to an actual production environment. We will cover everything from basic module authoring to setting up multi-master environments that allow us to push code across massive infrastructures and manage our hosts with features, such as Code Manager, Bolt, and PuppetDB. Upon the completion of this course, learners will be able to tackle any DevOps assignments that must be orchestrated with Puppet or require configuration management.

Amazon Connect is a cloud-based contact center solution that revolutionizes the way companies interact with their customers. Amazon Connect makes it easy to set up and manage a customer contact center while also providing reliable customer engagement at any scale. The intent of this course is to take business or technical stakeholders from absolutely zero Amazon connect knowledge to being able to justify, design, and implement a solution within their business.

Welcome to the Network Protocol Fundamentals course! This course is for anyone who wants to learn more about what network protocols are and which protocols are most widely used today. This course provides a basic introduction to network protocols and is designed to be accessible to anyone who wants to learn more about the topic. We'll start by answering the question, "What is a network protocol?" and then discuss some of the conceptual models of various types of network traffic. Next, our focus will shift to the protocols themselves. We'll learn about all of the main protocols that network communications and the internet are built on. We'll also cover several protocols that we all use on a daily basis (even if we are completely unaware). I hope you enjoy the course!

If you're completely new to big data and aren't quite sure what it is, why it's neccessary, and how it works, then this is the course for you! We are going to clarify what big data is (and isn't), while also defining some other related terms around data characterization and analysis methods. Then, we will talk about some architectural problems with big data and how we solve them with cluster computing, distributed storage, and cluster managment. Lastly, we will cover some of the popular technologies and illustrate how big data is used in the real world to hopefully shine a light on how big data is already impacting your daily life - whether you realize it or not. Let's get started!

After taking this course, you should be able to:
Implement network settings to provide a secure wireless network infrastructure
Troubleshoot security issues as they relate to the wireless network infrastructure
Implement a secure wireless client and troubleshoot wireless client connectivity issues
Implement and troubleshoot QoS in wireless networks
Implement and troubleshoot advanced capabilities in wireless network services

Is your learning organization leveraging the power of data? Companies have long been evaluating the success of their L&D programs, but with the advent of big data and elearning, and a renewed emphasis on user experience, learning analytics is entering a new era. This course redefines learning analytics for the digital age. Dr. Stella Lee reviews the current landscape of learning analytics and discusses the ethical ramifications of using big data to inform your learning and development strategy. She also compares different learning analytics applications and methods, and peers into the future of learning analytics. By the end of this course, you will have a deeper understanding of how to use learning analytics to find new insights for your organization

Nagios is an open-source monitoring tool originally created to run on Linux, but you can also run it on other Unix systems. It was released in 1999 and has over 1 million users worldwide today. Nagios has a great deal of features, most of which relate to monitoring. It can track systems, network services, applications, host resources, and infrastructure. It enables you to define parent-child relationships between hosts, create parallelized service checks, define many kinds of event handlers to aid in solving problems, and much more. Nagios is an important tool because you can use it to detect numerous kinds of server or network problems. It assists with finding the cause of problems so you can fix them as soon as possible. In urgent circumstances, Nagios can even automatically fix issues. In short, you'll find Nagios substantially simplifies system monitoring.

This course is for the absolute beginner to Google Cloud Platform. Have you ever wanted to know, in very simple terms, the answer to the following questions?: What is the cloud? What is Google Cloud? What are Google Cloud's core services? Why do we use Google Cloud? If you answered yes to any of these, then this course is for you. Our goal with this course is to provide a simple, conceptual introduction to the concepts of Cloud Computing, Google Cloud Platform, and it's core services. There are no technical explanations or definitions to memorize - this course is visual, and strictly conceptual. When you are done with this course, you will have the conceptual foundation to move forward onto more advanced GCP courses. By having the frame-of-reference understanding from this course, you will be more prepared to tackle the more complex technical concepts and terminology.