Business Intelligence (BI) in Python, OLAP
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Updated
Dec 2, 2016 - Python
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.
is an hypercube of data
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.
This is a business intelligence project on analyzing super market data. Check out the README file for more details.
Open Mining Language (OML), language to preprocess Olap Cubes
Docker image for Druid.io's Tranquility event-stream processing server
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)
Exam Ref 70-768
Board games analysis & Tableau visualizations. 🎲
Build and deploy automated to SQL Server Analysis Services (SSAS) with Python.
Official JavaScript client for SlicingDice, Data Warehouse and Analytics Database as a Service.
Official .NET/C# client for SlicingDice, Data Warehouse and Analytics Database as a Service.
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…
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