Data warehouse automation is a mindset shift. Once adopted, it ensures a faster data-to-value journey, gives more room for innovation, and makes work more purpose-oriented and enjoyable for your IT team.

Dimensional modeling is a data modeling technique optimized to run queries and retrieve data from an EDW.

In today’s business environment, an organization must have reliable reporting and analysis of large amounts of data. Businesses need their data collected and integrated for different levels of aggregation, from customer service to partner integration to top-level executive business decisions….

Owing to their widespread operations, enterprises resort to different types of systems that manage heterogeneous data. These systems are connected via an intricately knit data infrastructure, comprising of databases, data warehouses, marts, and lakes, storing key pieces of intelligible insights….

When it comes to data warehouse (DWH) designing, two of the most widely discussed and explained data warehouse approaches are the Inmon and the Kimball methodology. For years, people have debated over which data warehouse approach is better and more…