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- SAP High-Performance Analytic Appliance 1.0 (SAP HANA) 60 hours
SAP High-Performance Analytic Appliance 1.0 (SAP HANA) 60 hours
In this 60-hour seminar you will learn: Architecture Overview (10 hours), Row Store (5 hours), Column Store (5 hours), Persistency Layer (5 hours), Modeling (20 hours), Labs (15 hours)
- Course Outline
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Content
1. Architecture Overview 10 hours
2. Row Store 5 hours
3. Column Store 5 hours
4. Persistency Layer 5 hours
5. Modeling 20 hours
6. Labs 15 hours
Modeling: Information Modeler Features and Demo 5 hours- Modeling
- No materialized aggregates
- Database views
- Choice to publish and consume at 4 levels of modeling
- Attribute View, Analytic View, Analytic View enhanced with Attribute View, Calculation View
- Data Preview
- Physical tables
- Information Models
- Import/Export
- Models
- Data Source schemas (metadata) – mass and selective load
- Landscapes
- Data Provisioning for SAP Business Applications (both initial load and replication)
- Analytic Privileges / Security
Attribute and Demo 5 hours- What is an Attribute View?
- Attributes add context to data.
- Attributes are modeled using Attribute Views.
- Can be regarded as Master Data tables
- Can be linked to fact tables in Analytical Views
- A measure e.g. weight can be defined as an attribute.
- Table Joins and Properties
- Join Types
- leftOuter, rightOuter,fullOuter, textTable
- Cardinality
- 1:1
- N:1
- 1:N
- Language Column
Analytical and Demo 5 hours- An Analytical View can be regarded as a “cube”.
- Analytical Views does not store any data. The data is stored in column store or table view based on the Analytical View Structure.
- Attribute and Measures
- Can create Attribute Filters
- Must have at least one Attribute
- Must have at least one Measure
- Can create Restricted Measures
- Can create Calculated Measures
- Can rename Attribute and Measures on the property tab
- There are three main views one can select from when previewing data.
- Raw Data – table format of data
- Distinct Values – graphical and text format identifying unique values
- Analysis – select fields (attributes and measures) to display in graphical format.
Calculation and Demo 5 hours- Define Table Output Structure
- Write SQL Statement.
- Ensure that the selected fields corresponds to previously defined Output table structure of the function.
- Example
- Additional Details
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Pre-Requisites
Certificates offered
Certificate of completion
- Cancellation Policy
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# A full 3 business days notice is required to change or cancel any course date. Once payment has been received, a credit will be held in your account if we have received sufficient notice of your cancellation or date change (we do not provide refunds). If insufficient notice is received, the entire fee for that course date will be charged.There is no charge for substitutions. If you cannot attend your course and cannot provide the 3 business days notice, you can send someone else in your place with no penalty.
Course Retake
If you cannot provide 3 business days notice of cancellation, you may take the course at a later date at no further charge with the following conditions.
1. You must take the course within 6 months of the original course date (no exceptions). After that time, the full course fee will be charged again.
2. Registration is on a stand-by basis only. If the course date you select becomes fully booked you will be asked to choose another date, which must be within 6 months of the original course date.
3. If you need to change or cancel your free re-take course, we must receive a full 3 business days notice of the change. If insufficient notice is received, this offer no longer applies and the full course fee will be charged again, should you choose to book another date.
4. This course is not transferable to another person. It must be taken by the same person who was scheduled for the original course.
5. This offer applies to the same course only (same software program, same course level and the same software version as was originally booked).
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