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Data Warehouse Automation in a Microsoft Environment

With AnalyticsCreator you can create a Data Warehouse in a Microsoft environment completely automatically.

Data Warehouse Automation in a Microsoft Environment

Complete Automatic Generation

The software creates databases in the development environment, including all the elements needed to contain, display, and manipulate data (tables, logical views, stored procedures). AnalyticsCreator also generates all the ETLs needed to acquire data from sources, transform it, and insert it into the DWH, such as SQL Server Integration Services projects.

During deployment, AnalyticsCreator generates the Data Warehouse database release package, the SSIS project installation package, and, optionally, the XMLA scripts to create OLAP and/or Tabular cubes.

What it generates automatically

AnalyticsCreator automates the creation of all the necessary components for your Data Warehouse.

Automatic database creation in the development environment
Generate tables, logical views, and stored procedures
SQL Server Integration Services (SSIS) projects
Compatibility with Azure Data Factory and Synapse Analytics
Automated release and installation packages
XMLA script for OLAP and Tabular cubes

Main features

A complete platform for data management and automation

Data Warehouse Automation

It simplifies the creation and maintenance of a DWH through pre-built components and unified data model management. It automates data extraction, transformation, and loading (ETL), supporting sources such as MS SQL Server, SAP, Oracle, and Salesforce.

Flexibility in modeling

It supports multiple data modeling approaches, such as Kimball and Data Vault, giving users the ability to choose the method that best suits their needs.

Data historicization

Data historization is managed in a highly automated manner, offering various ways to archive and track data changes over time. It allows you to manage data snapshots to compare values ​​at specific intervals.

Governance and compliance

Ensures data integrity and compliance with security, protection, and auditing features. Automated documentation keeps all processes transparent for all stakeholders.

Low-code interface

It offers an interface that simplifies the management of the entire data pipeline, making it accessible to both technical experts and non-experts.

Integration with BI tools

It integrates with Business Intelligence tools like Power BI, Tableau, and Qlik, enabling rapid deployment and code generation for analytics and visualizations.

Technical Architecture

A complete overview of the AnalyticsCreator workflow

Technical Architecture
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