Article

OLAP (Online analytical processing), the data structure that allows fast analysis of data

Topic: SoftwarePublished December 23, 2010

Legacy signals

Legacy popularity: 625 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

Basically OLAP cube is a data structure which facilitates quick scrutiny of information. It has the potential of manipulate and analyze the information from numerous perspectives.

There was a constraint regarding relational databases. To overcome the limits the collection of data into cubes was in practice. Relational databases are not well matched with the next to instant study and show the large amounts of facts. As an alternative, they are better suitable for creating report from a sequence of dealings which is known as OLTP (On-Line Transaction Processing). There are many report-generating tools for the relational databases, but these are time-consuming when the whole database needs to be summarized.

OLAP cubes are like the extensions of the two-dimensional array of a table. For instance a company wants to investigate some economic facts by manufactured goods, by time-period, by town, by type of proceeds and price, and by comparing actual data with a financial statement. The supplementary methods of analyzing the facts are known as dimensions. Three or more dimensions can be in OLAP system so the term hypercube is used.

The OLAP cube contains numeric data which is called measures. Measures are categorized by dimensions. The cube structure may be formed from the table structure of a relational database. Measures can be obtained from the records in the fact table and dimensions can be obtained from the dimension tables.

An economic forecaster might want to view or he wants to make a pivot table in a variety of traditions, such as displaying all the cities down the page and all the goods across a page. This could be for a particular time, version and sort of costs. After seeing the data in this particular way the forecaster may instantly wish to view it in another way. The cube could fruitfully be changed so that the data displayed now has time across the page and type of price down the page. Actually this change facilitates re-summarizing of huge facts. This new outlook of the data has to be generated professionally by using OLAP in order to save the analyst's time, i.e. within seconds. A relational database and conventional report-writer have taken hours to do this job.

Article author

About the Author

Carlos Quijada is an IT professional associated with the field since the last 20 years. His core area of specialization is programming. Beside 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