Article

OLAP - Your Data Analyst

Topic: SoftwarePublished January 5, 2011

Legacy signals

Legacy popularity: 605 legacy views

Reader rating

Not enough ratings yet

Aggregate average appears after enough eligible reader ratings.

Rate this resource

Sign in to rate this resource.

Sign in to rate this resource

Business houses these days use the Information Technology vastly to increase their business and the productivity of their employees. To do this, they require the data which is stored in the database server of their computer system. OLAP is a system which stores the huge data in a structured format, uses the data, processes them and generates various types of reports, which can be seen from different angles and analyzed by the managers, analysts, trainers and executives to take some present and future decisions which help in business development.

The huge data, used by OLAP is retrieved in a multi-dimensional way. A multi-dimensional database is an optimized database used for data warehousing and reporting using Online Analytical Processing (OLAP) tools. The raw data remains stored in a relational database. The OLAP system had different categories; one of them is MOLAP (Multi dimensional OLAP) which accesses the data from multidimensional database, which has the ability to process the data very quickly. A multi-dimensional database uses the concept of data cube, which represents the data dimensions, where one report can be viewed with multiple ways. The database tables create the cube.

rnThe OLAP application is conceptualized with the aim of handling management queries to understand the business trend and critical factors used in the decision making process. OLAP gives quick accessibility to large stock of performance data to be viewed from many angles and it enables the business management and analysts of an enterprise.

The three major types of OLAP are Multi-dimensional OLAP, which we have just discussed, apart from relational OLAP and Hybrid OLAP. MOLAP is widely used for its quickness and the ability of providing the required data and reports in dynamic manner, which is more informative to the decision makers of the organization. The relational OLAP is a system which takes the data directly from the relational database to display they reports or query results. Relational database is a system which stores the data which is organized in formally described tables which provide the data and reassembles it in many ways without reorganizing the tables of the database. A hybrid OLAP uses both the MOLAP and ROLAP system in providing the results.

Article author

About the Author

Carlos Quijada is an IT professional associated with the field since the last 20 years. His core area of ecialization is programming. Besides working with one of the leading IT services, he writes about technology and its benefits, OLAP.

Further reading

Further Reading

4 total

Article

Organizations are starting to scale their cloud native operations. And as they do, the inefficiency of managing dozens of isolated clusters has become an evident problem. As the clusters continue to sprawl, businesses must unite diverse workloads onto shared infrastructure. This is because companies need better resource utilization and centralized governance among other things. But it is imperative to remember that going from a single tenant to a multi-tenant environment need

March 12, 2026

Article

It has been for everyone to see the short product lifecycles and a pressing need for rapid technical scalability that have come to define the modern startup ecosystem. For early-stage companies, the challenge is no longer just conceptualizing a solution. But they must also carry it out with enough precision to withstand high market volatility and fierce competition. We know that internal teams concentrate on core business strategy and fundraising. That still leaves us with th

March 12, 2026

Article

In today’s regulated and data-driven environments, organizations are under constant pressure to ensure that temperature and environmental conditions remain within defined limits. Even small fluctuations can result in product loss, compliance violations, or operational downtime. As a result, many facilities are moving away from manual checks and standalone sensors and adopting comprehensive environmental monitoring solutions instead. An environmental monitor provides rea

March 5, 2026

Article

Organizations have come to rely heavily on large amounts of data in today's competitive markets. But to what end? For starters, to inform strategic decisions and power machine learning models. It goes without saying that the value of these digital assets is completely dependent on the accuracy of the underlying data. So, when data is fragmented or inconsistent across departments, you will obviously have inaccurate reporting and operational inefficiencies at your hands. This c

March 2, 2026