The Oracle Database 11g: (Administration Workshop I R2) course is designed to provide you the understanding and knowledge of fundamental database administration.
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The Oracle Database 11g: (Administration Workshop I R2) course is designed to provide you the understanding and knowledge of fundamental database administration.
The Oracle Database 11g: (Administration Workshop I R2) course is designed to provide you the understanding and knowledge of fundamental database administration. Professional Oracle University trainers will enhance your skills with organized hands-on exercises that prepare you for other equivalent Oracle Certified Associate course.
Ensure secure, reliable, easy, and fast to handle performance. Lower IT costs, improve database workloads, and offer a better quality of service by allowing rapid and smooth consolidation under your Datacenter.
This course will also help you to understand how to build an operational database and effectively manage the different structures efficiently and effectively. This incorporates database security, backup/recovery techniques, performance monitoring, and user management.
This course satisfies the training requirement for an Oracle Certification track. Kindly note that Knowledge Center courses and Self-Study Courses do not satisfy the training requirement.
The Oracle Developer can make an average salary of $106,225 per annum.
| Brand | Oracle |
|---|---|
| Subjects | IT Ops & Management |
| Lab Access | No |
| Technology | Oracle |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 5 Days |
| Language | English |
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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