data warehouse

Any organization aiming to leverage the power of data-driven decision-making stands to benefit greatly from a successful Data Warehouse project. A well-designed Data Warehouse not only centralizes your data but also guarantees that it is reliable, scalable, maintainable, and usable by stakeholders. Over the past few months, my team and I have launched a new Data Warehouse project in production. The opportunity to start from scratch is always a valuable chance to gain new insights and expertise....

The way we access and analyze data has changed a lot lately. Row-oriented storage, which has been the standard for data storage for a long time, is having trouble keeping up with the demands of modern data analysis. In this article, I will introduce you to column-oriented storage and how it can help analytical queries run faster. OLAP In my previous post, we discussed the differences between Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP)....

Today, I was advising a team on building their data warehouse solution. I realized that even 40 years after the term “data warehouse” was first introduced, there are still questions about why we need a data warehouse and why we don’t get all of the data from application databases, especially by executives. I write this post to answer these questions by clarifying the terms OLTP and OLAP, which are frequently used in discussions about data warehouse database architecture....