OLAP Concepts Assessment

$27.37

OLAP Concepts Assessment

$27.37
Skills Assessment
description

OLAP is an acronym for On Line Analytical Processing. The OLAP Concepts assessment measures a candidate's understanding of the core ideas and key concepts of OLAP database design and management. This assessment is appropriate for entry-level OLAP users and those with one or two years of experience. Topics include Data Warehousing, Building Dimensions, Working with Cubes and Measures, Managing Storage and Optimization, Processing Dimensions and CubesManaging Partitions, Deploying an OLAP Solution, and Data Mining.

Assessments for Data Modeling Concepts, Data Warehousing Concepts, and SPSS are also available.

 

What Am I Buying?
When you purchase an assessment with Talevation, you will receive a credit for our online assessment portal. To access your purchase, you must head to our Login page found in the top right corner. There, you may redeem your credit and generate a link which will be sent to the candidate of your choosing.


How does it work?
Total Questions 37
Question Types Multiple Choice
Competencies Tested Processing Dimensions and Cubes
Working with Cubes and Measures
Deploying an OLAP Solution
Data Warehousing and OLAP
Managing Storage and Optimization
Building Dimensions
Data Mining
Managing Partitions
Tasks Tested Maintaining a Database
Basis of OLAP Processing
Row Retrieval
Models of Dimensional Architecture
Processing Cubes
Updating a Cube
Defining Cube Properties
Working with Measures
Specific Data Set or Category
Reserved Storage Space
End User Reporting
Large Quantities of Data or Users
Deploying to Production
Business Requirements
Small Data Warehouse
OLAP Models
Rotating a Two-Dimensional Table
Advanced Design Techniques
Basic Component of OLAP
Database Management
Managing Data Structures
Managing Storage
Optimization Tuning
Optimizing and Tuning
Defining Tables within a Schema
Working with Levels and Hierarchies
Adjusting Dimensions
Working with Standard Dimensions
Tracking Non-Value Events
Working with Dimension Structure
Slowly Changing Dimension
Working with Levels
Accessing Large Quantities of Data
Building a Data Mining Model
Creating Partitions