OlapCube is a data analysis tool that allows users to create multidimensional data cubes from various data sources. It enables efficient organization, aggregation, and summarization of large datasets for in-depth analysis and reporting.
About OlapCube
OlapCube was developed as a tool for creating multidimensional data cubes to facilitate advanced data analysis and reporting. Its creation aimed to address the need for efficient data organization and summarization from multiple sources. Specific details about its founders or the exact year of creation are not widely documented.
Strengths of OlapCube include its ability to handle large datasets, user-friendly interface, and support for multiple data sources. Weaknesses may involve limited scalability compared to enterprise-level solutions and potential integration challenges with newer technologies. Competitors include Microsoft SQL Server Analysis Services (SSAS), IBM Cognos, and Oracle OLAP.
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How to hire a OlapCube expert
An OlapCube expert must possess skills in data modeling, proficiency in SQL for querying databases, and experience with ETL processes for data extraction and transformation. Knowledge of multidimensional databases and OLAP operations, as well as familiarity with data visualization tools, is also essential.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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