Before the era of big data, there was the era of business intelligence (BI). It was based on many of the same tenets, but focused more on formal data models and analysis of data at a summarized level.

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

The popularity of Microsoft Excel has never waned. Today, a whopping 1.1 billion users globally rely on it for multidimensional analysis in areas such as "scenario planning, supply chain optimization, ...

In the fog of the Big Data era, OLAP (On-line Analytical Processing) gets little mention from the press or the industry analysts. The reality is, OLAP is quite vital today for a simple reason: most ...

How Are Oltp And Olap Used As Methodologies In The Process Of Gathering Business Intelligence? In contrast to OLTP databases, OLAP databases are intended to support analytical processing of data ...

In order to fully understand the benefits of OLAP and the details of its effective implementation, it helps to examine the technology from two perspectives: (1) from that of the users and (2) from ...

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The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...

Business users can view centralized data and perform related calculations for analysis and reporting with ease. IT can take advantage of OLAP solutions so that data warehouses and other relational ...