Eclipse Daanse - Data and Analysis Services

Eclipse Data Analysis Services (Daanse) is an open source software designed to analyze large amounts of data and extract valuable insights from it. With a steady rise of digital data production in business, science and technology, the importance of data analysis has grown tremendously. Data Analysis Services offers a wide range of tools, technologies and expertise to interpret data in meaningful ways and help decision makers formulate strategies and identify patterns and trends. There are several important features of Data Analysis Services: Data cleansing and integration: One of the crucial steps in data analysis is the preparation of the data. Often data are flawed or incomplete. Data Analysis Services helps to clean, transform and bring data into a unified form to enable sound analysis. Data Visualisation: Data can be complex and numbers alone are sometimes not enough to convey information. Data Analysis Services uses visualisation tools to present data in the form of charts, graphs and interactive dashboards. This simplifies the communication of results and insights. Statistical Analysis: Data Analysis Services uses statistical methods and models to analyse data and identify patterns, correlations or significance. This includes descriptives, inferential statistics, regression analysis, time series analysis and more. Business Intelligence: Data Analysis Services helps management to extract business-critical insights that help improve business processes, optimise resources and identify new business opportunities. Big Data Analysis: In a world characterised by huge amounts of data, Big Data analysis is an integral part of Data Analysis Services. Processing and analysing large and complex data sets require specialised tools and technologies.

Eclipse Daanse combines the following technologies to cover different applications scopes:

XMLA (XML for Analysis)

XMLA provides a detailed specification for accessing analytical data sources. This specification describes the structure of XMLA messages and the supported operations for accessing OLAP data sources. The Test and Compatibility Kit (TCK) can be used to check compliance of different implementations with the XMLA specification and to ensure interoperability between systems. Eclipse Daanse offers a Java API via Jakarta XML Bind and flexible customisable SOAP messages.

MDX (Multidimensional Expressions):

MDX is a query language for multidimensional data sources and is closely related to XMLA. The scope and delimitation of MDX are as follows: Stringd can be converted into an implementation or API model using parsers.



OLAP

OLAP (Online Analytical Processing) is a powerful technology widely used in data analysis and reporting. It is based on several important components: The DataCube Provider makes it possible to create and provide multidimensional data cubes that offer efficient and flexible data organisation for complex analyses. OLAP's Access and Security Model regulates access rights to data sources and ensures that only authorised users can access the information they need, while sensitive data remains protected. The Calculation Model enables complex calculations and aggregations to be performed on the multidimensional data. This enables the creation of meaningful reports and analyses that provide deeper insights into the data. OLAP's Dynamic Function Model allows dynamic functions to be used to respond to changes in data sources or query results. This allows users to customise analyses and include real-time data in their reports. Parts of this implementation are a Fork ot the Pentaho  Mondrian Project

Databases:

Different databases can be integrated via JDBC (Java Database Connectivity) which allows developers to interact with different databases by providing a standardised method for connecting and querying. The JDBC Database Dialect Abstraction Layer makes it possible to work with different databases without having to worry about the specific syntax differences. OLAP data can thus also be accessed by means of OLAP database-schema mapping.



Clients:

Eclipse Daanse enables access to analytical data sources from various client applications: In addition to the possibility of integrating your own applications using the client libraries (in several languages like Java and Typescript), Eclipse Daanse includes its own web client for tables, charts and maps as well as dashboards. In addition, further reporting tools can be connected via adapters and templates.



Dashboards:

In addition to XMLA data sources, the Eclipse Daanse client's dashboard engine enables other data sources such as SensorThingsAPI, REST and OCG (WMS, WFS) to be connected and merged with each other. These data sources can feed a variety of visualisations such as charts, tables, maps, infographics ,texts and more. Visualisations can be combined to different widgets and designed interactively via input and control options such as (fields, buttons, sliders, map events ... ). In addition to classic dashboards, interactive maps, infographics or interfaces for e.g. building management systems can also be realised in this way.