Difference between Real-time Data Warehouse and Traditional Data Warehouse

1. Real-time warehouse inventory construction purpose

With the development of the Internet entering the second half, the timeliness of data is becoming more and more important for the refined operation of enterprises. Shopping malls, such as battlefields, how to effectively mine valuable information in real time from the massive data generated every day is of great help to the adjustment of enterprise decision-making and operation strategy.

Secondly, from the perspective of intelligent business, the results of data represent the feedback of users, and the timeliness of obtaining results is particularly important. Getting data feedback quickly can help enterprises make decisions faster and iterate products better. Real-time warehouse inventory plays an irreplaceable role in this process.

1. 1 solves the problem of traditional warehouse inventory.

From the current situation of warehouse inventory construction, real-time warehouse inventory is a rather confusing concept. According to the traditional empirical analysis, warehouse inventory has an important role, that is, it can record history. Usually, several warehouses hope to have data from the first day of business launch, and then record it until now. However, real-time stream processing technology is also a technology that emphasizes the current processing state. Combined with the current construction experience of first-line manufacturers and the current situation of Didi's construction in this field, we try to locate the purpose of real-time warehouse construction within the company, and solve the problem that cannot be solved due to the low timeliness of offline warehouse data with warehouse construction theory and real-time technology.

At this stage, the main reasons why we want to establish real-time warehouse inventory are:

Real-time data is more and more urgent in enterprise business, which needs real-time data to assist decision-making.

Real-time data construction is not standardized, data availability is poor, multi-warehouse system cannot be formed, and a lot of resources are wasted.

The support of data platform tools for overall real-time development is becoming more and more mature, and the development cost is reduced.