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.
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.In a Data Lakehouse, data is initially stored in its native format (raw data) and subsequently enriched with structured metadata. Unlike a Data Lake, relevant datasets are structurally processed, similar to a Data Warehouse. This approach supports comprehensive Business Intelligence (BI), reporting, analytics, and machine learning (ML) capabilities on a single platform.
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.
Data Storytelling
Data Storytelling is the art of communicating effectively with data. It’s not just about what you say, but how you say it.
What is Data Literacy?
Data Literacy refers to the ability to effectively collect, process, analyze, and communicate data. It encompasses understanding how data is generated, stored, and utilized in various formats—empowering individuals and organizations to make informed, data-driven decisions and effectively solve problems.
ESG Reporting
Why your business should start sustainability reporting now.
5 key success factors for your BI project
Business intelligence reduces manual efforts, optimizes business processes, and enhances transparency.