Aggregate functions help turn large datasets into simple summaries used across many fields. GROUP BY and HAVING allow structured grouping and filtering of data for clearer reports. Functions like ...

A project building a stylish geometric cube-shaped table using reclaimed wood, combining creative design with sustainable materials. Mary Trump issues warning on long-term impact of Donald Trump move ...

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 ...

Cube is one of the most frequently used notions in On-Line Analytical Processing (OLAP) systems (infocube, hypercube, one-dimensional cube, two-dimensional cube, etc., up to N-dimensional cube). In ...

Oracle Corp. today is expanding the scope of role-based generative artificial intelligence features in its Fusion Cloud Supply Chain and Manufacturing platform, aiming at automating routine tasks for ...

Oracle SQL Developer is a great tool for managing Oracle Databases. It has a user-friendly interface that makes it easier to handle database tasks. The software offers features to simplify workflows ...

Abstract: Aggregation functions are a class of generic functions which must be usable in any database application. We characterize the case where the aggregation functions can be correctly applied on ...

TinyOlap is a light-weight, in-process, in-memory, multi-dimensional, model-first OLAP engine for planning, budgeting, reporting, analysis and many other numerical purposes, written in plain Python.

One of the presentations I enjoyed at Rocky Mountain Oracle Users Group (RMOUG) Training Days 2010 was Stephen Jackson’s presentation “Using SQL to Generate SQL.” I have used some of the techniques he ...