OLAP (short for Online Analytical Processing cubes) refers to multidimensional databases optimized for data warehouse requirements and specific OLAP applications. The OLAP cube is a technique of storing data (or…
4 Data Warehouse Optimization Mistakes to Avoid | Data Warehouse Info Center[…] manner. The ever-growing data complexity and the endless user needs are difficult to ...
In today’s world ‘data’ is the driving force behind any business. Storage of that data in a place where it’s secure from unauthorized access, be it physical or online, is…
ETLRobot | Powering Data Heroes[…] a sense of where and how your data is being stored allows you to have a better unders...
Data Warehouse Governance: Best Practices | Data Warehouse Information Center[…] data process and access rights for end users based on legal restrictions and data sec...
If technicalities were to be put aside and the subject matter of this article was put in layman’s term, it would be “can the cookie cutter exist without the dough?”…
Data Warehouse Governance: Best Practices | Data Warehouse Information Center[…] a short few years, data warehouse has become an indispensable and integral part of al...
Advanced Dimensional Modeling Techniques – An Overview[…] which make life easier, and data more comprehensive and readable. If you want to buil...
A data warehouse creates a centralized source of data which facilitates business intelligence, strategy, and decision-making. Thus, having an effective and efficient data warehousing solution is extremely important for any…
4 Data Warehouse Optimization Mistakes to Avoid | Data Warehouse Info Center[…] forced enterprises to rethink their data warehousing strategy. Among the emerging alt...
Data Warehouse Governance: Best Practices | Data Warehouse Information Center[…] project. The purpose of having business people in the governance body is to ensure th...
When it comes to database technology, there are two common categories: SQL and NoSQL or relational and non-relational database respectively. They are called SQL and NoSQL referring to whether they…
Data warehouse architecture is changing, and it has been changing for some time now. The traditional on-premise deployment model was succeeded by cloud deployment. However, cloud-based data warehouses are different…
Iqbal Ahmed AlviThank you....
kumariThanks for the informative blog...
Metadata helps with data management and serves as a descriptor for an object that holds some data or information. In data warehouses, it is collectively organized in a catalog called…
In this era of data-driven decision making, data quality holds immense significance. Accurate data has been gauged to be a priority factor in customer experience enhancement and creating a business…