This course provides an in-depth exploration of the Oracle Exadata Database Service within Oracle Cloud Infrastructure (OCI). Participants will discover the significance of Exadata in the strategic partnerships formed between major cloud providers and Oracle, focusing on its high performance, scalability, and advanced security features. Over 1.5 hours, learners will engage in hands-on experiences and live demos, beginning with Exadata fundamentals and progressing to creating reference architectures, provisioning, connectivity, and advanced topics like high availability and security.
This course is designed for Team Leaders, Supervisors, Managers, Oracle Database Administrators (DBAs), Cloud Architects, and Oracle Database Engineers. These professionals are pivotal in managing and implementing Oracle Exadata within cloud environments. The course caters to their need for in-depth knowledge and hands-on experience in leveraging Oracle's advanced database services to optimize business operations.
Participants should have a basic understanding of Oracle Database and familiarity with SQL, as these foundational skills will enhance their learning experience. Additionally, knowledge of Swingbench, access to Oracle Cloud Infrastructure (OCI), and an understanding of compartments, Virtual Cloud Networks (VCN), and security configurations such as Network Security Groups are essential for effectively navigating the course content.
By the end of the course, learners will be equipped to interpret the architecture of Exadata, unveiling the critical components that support mission-critical workloads. They will develop strategies for deploying Exadata Database Machines on Dedicated Infrastructure in OCI, construct connectivity and management mechanisms for Exadata databases through real-time demonstrations, and examine how high availability and advanced security features are integrated into the service.
Some points apply to every course of this kind; see how we rank.
Coursera is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100). Made by the platform, often short guided projects.
This is CS50’s introduction to databases using a language called SQL. Learn how to create, read, update, and delete data with relational databases, which store data in rows and columns. Learn how to model real-world entities and relationships among them using tables with appropriate types, triggers…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
