Business Intelligence (BI) in Python, OLAP

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 platform on Apache Spark.

A Simple and Efficient Distributed Multidimensional BI Analysis Engine.

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.

An attempt to model an OLAP cube with Neo4j.

is an hypercube of data

This is a business intelligence project on analyzing super market data. Check out the README file for more details.

Official JavaScript client for SlicingDice, Data Warehouse and Analytics Database as a Service.

SQL Server Analysis Services multidimensional databases metadata reader

Build and deploy automated to SQL Server Analysis Services (SSAS) with Python.

Board games analysis & Tableau visualizations. 🎲

SQL script to create and populate a date dimension which is used in generating OLAP Cubes. Also a function to convert dates from Gregorian to Jalali calendar (A.K.A Persian calendar)

PoC using OpenAI API via LangChain to create SPARQL queries that query RDF cubes

A project which implements the Data Science pipeline - Extracting raw data, Data Cleaning, Feature Extraction, Entity Matching, Data Matching, Data Merging and OLAP style exploration. The two entities chosen are Yelp and Zomato. Restaurant data from the same localities will be extracted from both sites and similar restaurants will be merged into…

Open Mining Language (OML), language to preprocess Olap Cubes

Docker image for Druid.io's Tranquility event-stream processing server

A blockchain enabled OLAP Data Warehouse. It is the implementation / application part of my thesis as an undergraduate Computer Science student of Athens University of Economics and Business

A MongoDB OLAP microservice for continuous pre-aggregation.

Integration Services, Analysis Services e Reporting Services - Do zero ao Datawarehouse com ETL e Cubos

Projet BI – Client OLAP pour l’analyse et le pilotage du Datacenter d’ELIT (SONELGAZ). Ce projet inclut : un DataMart multidimensionnel, des cubes OLAP Mondrian, un client web pour l'analyse et le reporting, une automatisation ETL, un déploiement complet en Docker. Réalisé dans le cadre d’un PFE Master MIND (USTHB).