Red Hat OpenShift Administration I: Operating a Production Cluster (DO180) prepares OpenShift cluster administrators to manage Kubernetes workloads and to collaborate with developers, DevOps engineers, system administrators, and SREs to ensure the availability of application workloads. This course focuses on managing typical end-user applications that are often accessible from a web or mobile UI and that represent most cloud-native and containerized workloads. Managing applications also includes deploying and updating their dependencies, such as databases, messaging, and authentication systems.

The skills that you learn in this course apply to all versions of OpenShift, including Red Hat OpenShift on AWS (ROSA), Azure Red Hat OpenShift, and OpenShift Container Platform.

This course is based on Red Hat OpenShift 4.18.

Over 70% of business decision-makers say their teams struggle with data access—most don’t know how to use SQL effectively. This one-day beginner-level training course provides a hands-on introduction to SQL fundamentals using Microsoft SQL Server.

You’ll learn SQL from the ground up, gaining the skills to write queries, filter and sort results, combine data from multiple tables, and manipulate output for analysis or reporting. Real-world exercises guide you through every step so you can confidently retrieve information from a relational database.

Think you know SQL? Time to level up. SQL appears in over 45% of all data job postings, making it the most in-demand skill for data professionals. In this SQL training course, you’ll build on your foundational skills to write advanced queries, structure and index tables, and control how data is stored and manipulated.

Through real-world exercises and expert instruction, you’ll learn how to use subqueries, manage views, and execute transactions—giving you the tools to confidently handle more complex data scenarios.

As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of “big data” exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.

The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau’s data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

In today’s business environment, data is an abundant raw material, and successful organizations have found ways to extract insights from the data. With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage.

Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients.