This course is designed to provide the knowledge and skills to design, build, deploy, and manage the aggregate storage database. Also, it will assist you to construct the 16 dimensions in-class database with a range of guided practices.
Learning Style
Provider
Difficulty
Course Duration
This course is designed to provide the knowledge and skills to design, build, deploy, and manage the aggregate storage database. Also, it will assist you to construct the 16 dimensions in-class database with a range of guided practices.
This course is designed to provide the knowledge and skills to design, build, deploy, and manage the aggregate storage database. Also, it will assist you to construct the 16 dimensions in-class database with a range of guided practices.
Other topics provide you the detailed understanding of significant components of ASO development, incorporating time intelligence, complex member formulas, allocation and calculation templates, partitioning, and the new function in release 11.1.2.
| Brand | Oracle |
|---|---|
| Subjects | IT Ops & Management |
| Lab Access | No |
| Technology | Oracle |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 4 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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