This Oracle Essbase 11.1.2: CBSD 11.1.2.3 course provides you the knowledge and understanding of the theories and principal techniques for designing the calculations in block storage databases through Essbase Release (11.1.2.3).
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This Oracle Essbase 11.1.2: CBSD 11.1.2.3 course provides you the knowledge and understanding of the theories and principal techniques for designing the calculations in block storage databases through Essbase Release (11.1.2.3).
This Oracle Essbase 11.1.2: CBSD 11.1.2.3 course provides you the knowledge and understanding of the theories and principal techniques for designing the calculations in block storage databases through Essbase Release (11.1.2.3). Professional Oracle University trainer will examine database configuration and structure and provide you fundamental calculation building blocks, like IF and FIX statements.
By appearing at this course, you will learn the calculation script development methods and way to rectify usual miscalculations. You will study the methods for effective leverage dynamic calculations to improve database efficiency and develop advanced calculation scripts, like, multidimensional range calculation, cross-database calculations, and allocations. Through involvement in hands-on practice sessions and design discussions. You will enhance your skills and knowledge of major Essbase concepts.
Note: This course is designed for those people who are using Oracle Essbase (11.1.x) or Hyperion Essbase Analytics (9.3.1).
| Brand | Oracle |
|---|---|
| Subjects | IT Ops & Management |
| Lab Access | No |
| Technology | Oracle |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 2 Days |
| Language | English |
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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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