Stay ahead with the inics blog
We regularly publish insightful articles on key topics related to data management, business intelligence, and data analytics—keeping you informed and ahead of industry trends.
ETL vs ELT
ETL und ELT sind Datenintegrationsmethoden, die dazu dienen, Informationen aus mehreren Quellen in einem zentralen Datenspeichersystem zu konsolidieren.
What is Business Intelligence?
Business Intelligence (BI) refers to the process of collecting, evaluating, analyzing, and visualizing data. BI encompasses a wide range of tools, applications, and methodologies that enable users within organizations to make informed decisions based on their data. Both current and historical data are analyzed and presented through clear, comprehensible reports, dashboards, and charts. This descriptive analysis offers insights into a company's current and past performance.
Data Mesh
Data Mesh architecture is a decentralized Data Management approach that organizes data across individual business domains.
Supply Chain Due Diligence Act
On January 1, 2023, the Supply Chain Due Diligence Act (Lieferkettensorgfaltspflichtengesetz - LKSG) came into effect. The law introduces strict regulations to ensure ethical standards across global supply chains, particularly regarding child labor, wage standards, and environmental protection.
Data Lakehouse
A Data Lakehouse is an innovative, open data management architecture combining the advantages of both Data Lakes and Data Warehouses. It merges the flexibility, scalability, and cost-effectiveness of Data Lakes with the structured data management features of Data Warehouses.
Data Lake
A Data Lake captures, stores, and processes vast amounts of data in its original formats.
Data Architecture
Effective data management is essential for long-term growth in successful companies. But what exactly is data architecture, and why is it so important?
Data Warehouse
A Data Warehouse is a centralized database designed to collect, transform, and aggregate structured data from various sources such as ERP systems, CRM platforms, databases, and external systems. It serves as a consistent, optimized storage hub for facilitating rapid and efficient data querying and analysis, providing a solid foundation for Business Intelligence, reporting, and analytics.
Data Lake vs Data Warehouse
Data Lakes and Data Warehouses (DWH) are two distinct approaches to data storage. While a Data Lake stores unstructured (raw) data, a Data Warehouse holds structured and processed data. In this article, we provide a comprehensive overview of the differences between these two technologies.