Oracle Essbase 11.1.2: Deploy Aggregate Storage Databases (OR-ESS-DASD)
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.
Virtual
Learning Style
Oracle
Provider
Intermediate
Difficulty
4 Days
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
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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.
Course Information
About this course:
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.
Learn to:
- How to design, build, implement, and manage aggregate storage databases
- How to implement time intelligence for time interval reporting
- Calculate mix, variance, and other calculation utilizing MDX
- Explain custom allocations and calculations in aggregate storage databases
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.
Course Objective:
- Design ASO (Aggregate Storage databases)
- Build Aggregate Storage databases
- Aggregate ASO data
- Upload data in ASO databases
- Calculate member formulas
- Manage and handle ASO databases
- Define custom allocations and calculations in aggregate storage databases
- Create time-intelligent models
Audience:
- Support Engineer
- Developer
- Technical Consultant
- Sales Consultants
Prerequisite:
- Understanding of Microsoft Excel and Windows
- Understanding of Oracle Essbase Bootcamp course
Outline
More Information
| 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 |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
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.
