Sökning: "OLAP cubes"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden OLAP cubes.
1. Optimisation of Ad-hoc analysis of an OLAP cube using SparkSQL
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : An Online Analytical Processing (OLAP) cube is a way to represent a multidimensional database. The multidimensional database often uses a star schema and populates it with the data from a relational database. LÄS MER
2. BigDataCube: Distributed Multidimensional Data Cube Over Apache Spark : An OLAP framework that brings Multidimensional Data Analysis to modern Distributed Storage Systems
Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Multidimensional Data Analysis is an important subdivision of Data Analytic paradigm. Data Cube provides the base abstraction for Multidimensional Data Analysis and helps in discovering useful insights of a dataset. LÄS MER
3. MDX on Hadoop : A case study on OLAP for Big Data
Magister-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Online Analytical Processing (OLAP) is a method used for analyzing data within business intelligence and data mining, using n-dimensional hyper cubes. These cubes stores the aggregates of multiple dimensions of the data, and can traditionally be computed from a dimensional relational model in SQL databases, known as a star schema. LÄS MER
4. Flexible Data Extraction for Analysis using Multidimensional Databases and OLAP Cubes
M1-uppsats, KTH/Data- och elektroteknikSammanfattning : Bright is a company that provides customer and employee satisfaction surveys, and uses this information to provide feedback to their customers. Data from the surveys are stored in a relational database and information is generated both by directly querying the database as well as doing analysis on extracted data. LÄS MER
5. Interactive visualization of financial data : Development of a visual data mining tool
Uppsats för yrkesexamina på avancerad nivå, Institutionen för informationsteknologiSammanfattning : In this project, a prototype visual data mining tool was developed, allowing users to interactively investigate large multi-dimensional datasets visually (using 2D visualization techniques) using so called drill-down, roll-up and slicing operations. The project included all steps of the development, from writing specifications and designing the program to implementing and evaluating it. LÄS MER