Cubos OLAP is a technology used for online analytical processing, enabling users to perform multidimensional analysis of business data. It allows for complex calculations, trend analysis, and sophisticated data modeling by organizing data into cubes that facilitate quick retrieval and manipulation of information across various dimensions. This aids in decision-making processes by providing insights through slicing, dicing, drilling down, and rolling up operations on the data.
About Cubos OLAP
Cubos OLAP was developed to address the need for efficient multidimensional data analysis in business intelligence. It emerged as part of the evolution of OLAP technologies, which aimed to enhance data processing capabilities beyond traditional databases by providing faster and more flexible analytical operations. The concept of OLAP gained traction in the 1990s, driven by the demand for tools that could handle large volumes of data and complex queries, though specific details about Cubos OLAP's creation, including its founders or exact year of origin, are not well-documented.
Strengths of Cubos OLAP include its ability to handle complex multidimensional queries quickly and efficiently, providing deep insights through advanced data analysis techniques. Weaknesses may involve high implementation costs and complexity in setup and maintenance. Competitors in the OLAP space include Microsoft Analysis Services, Oracle Essbase, and SAP BW, which offer similar capabilities for business intelligence and data analytics.
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How to hire a Cubos OLAP expert
A Cubos OLAP expert must have strong skills in multidimensional data modeling and an understanding of OLAP cube design principles. Proficiency in SQL and MDX (Multidimensional Expressions) is crucial for querying and manipulating data within OLAP systems. Expertise in data warehousing concepts and ETL (Extract, Transform, Load) processes is important for preparing and integrating data into OLAP cubes. Familiarity with business intelligence tools and software that integrate with Cubos OLAP is also essential to effectively analyze and visualize data.

Marco L.
Skills
Experienced data transformation specialist with 15 years of expertise in converting data into valuable insights.

Kaique V.
Skills
Pursuing a degree in Computer Engineering with an anticipated graduation date of December 2021.

Daniel M.
Skills
Proficient in ETL tools such as IBM Data Stage and Microsoft SSIS/DTS. Experienced in OLAP technologies, including MicroStrategy and Power BI. Skilled in creating SSRS reports using Reporting Services, Crystal Reports, Power BI, and Google Charts. Competent in data management tools like DBeaver and ERwin, with experience in databases such as DB2, SQL Server, Oracle, PostgreSQL, and MySQL. Familiar with Business Process Management software, specifically Bizagi. Knowledgeable in CRM platforms including Microsoft Dynamics and Salesforce. Versed in Web Service tools like SoapUI, IBM Integration Toolkit, and Cisco APIC. Development expertise includes proficiency in ASP.NET, C#, VB6, VBA, ASP, SQL, JavaScript, jQuery, Ajax, Json, CSS, and HTML.

Wanderson M.
Skills
With over six years of experience in the IT sector specializing in business and data analysis, this professional has focused primarily on projects involving Business Intelligence (BI) and Big Data. Key competencies include requirement gathering, screen prototyping, ETL processes, database management and modeling, and dashboard creation. These skills have consistently been leveraged to deliver substantial value to client businesses in the domains of BI and Big Data.

Diego A.
Skills
A professional with seven years of experience in all stages of BI process construction, demonstrating expertise in SSIS, SSRS, SSAS, and Power BI. Skilled in data modeling and the construction of both tabular and multidimensional cubes, as well as proficient in developing and administering cloud-based dashboards. Salary expectations are negotiable, with a willingness to discuss proposals and adjustments based on the nature of the role.

Cristiano B.
Skills
Currently a Data and Business Intelligence Analyst pursuing a Power BI Specialist qualification with the aim of achieving Microsoft certification. Additionally, engaged in studying French. Holds a postgraduate degree in Data Science and Big Data from Pontifical Catholic University of Minas Gerais (2016) and a postgraduate degree in Database and Business Intelligence from Unicentro Newton Paiva (2011). Earned an undergraduate degree in Information Technology from the latter institution in 2007. Since completing formal education, has been involved in numerous projects to enhance professional expertise. Also possesses a technical secondary education degree in Data Processing from the Polytechnic School of Minas Gerais - Polimig. Actively seeking new professional opportunities while striving to further specialize, expand knowledge and experience, achieve relevant certifications, and build a global professional network.

Jonathan S.
Skills
A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.
*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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