Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

This is a FORK, revival and expansion of the Cubes OLAP Framework by Stefan Urbanek. It is a light-weight OLAP framework created in Python and designed for multi-dimensional data analysis ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

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, ...

Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI ...

On line analytical processing (OLAP) is an essential element of decision-support systems. However, OLAP queries can be biased and lead to perplexing and incorrect insights. In this demo, we present ...

Abstract: OLAP query is an efficient way to gain quick insight into big data. Spark is a fast and general engine for big data processing, which supports interactive OLAP queries. Nevertheless, as a ...

Abstract: Invariably, users formulate a sequence of OLAP queries, referred to as a session, in order to arrive at the intended analysis of the data in a data warehouse. Formulating this sequence is ...