Data Governance Tools and Resources
Before diving into our article, let’s take a look at the data warehouse! A data warehouse is a subject-oriented, integrated, relatively stable data collection that reflects historical changes. Let’s look at these words: Topic-oriented. The data warehouse will plan various…
Many people are not very clear about the concept, classification and function of metadata. If you’re in a similar situation, congratulations, you’ve come to the right place. In today’s article, we will try to answer the above questions one by…
Why do you need metadata management? Effective metadata management in an organization provides the correct context and description for data. Furthermore, in order to understand and trust data, one needs to understand its context – how the data is produced…
I don’t think many people have heard of the term metadata management system. Of course, people who work in non-data warehouses rarely come into contact with this system, and even those who are working in this area may still don’t…
Data is considered to be the fuel that drives business growth and the engine of business innovation. Data is undoubtedly one of the assets that an organization recognizes and owns, but due to the increase in its massive data, the…
What is a data mart? A data mart is a simple form of data warehouse, a data mart for a single subject domain, such as: sales, finance, marketing, etc. The data source of the data mart can be an operating…
What is a data governance strategy? A data governance strategy is a set of rules that help protect data and establish standards for its access, use, and integrity. These strategies are often accompanied by standards that provide more detailed rules…
Data Lineage In the era of big data, the sources of data are extremely wide, various types of data are being generated rapidly, and the data is also growing explosively. Therefore, the data lineage is becoming As a result, data lineage…
What Are the Top 4 Benefits of Data Lineage? Data lineage is the process of understanding, documenting, and visualizing data as it flows from its source to consumption. This includes all the transformations the data undergoes along the way, such as…
