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[cloud College practical Information] data Warehouse Service: finding the right decision in redundant massive data

At present, data warehouse analysis solutions are developing rapidly in finance, telecommunications, retail and other industries, and many enterprises need to diversify and analyze their massive data in key decisions. Traditional data warehouse is at a disadvantage in the era of big data, users need to build their own software and hardware, the cost of operation and maintenance is very high, high investment cycle is long, and if the amount of data is large, the expansion work is very difficult to achieve. It is an inevitable trend that business data is hosted on the cloud and hosted on the public cloud.

Under popular science, what is data warehouse (Data Warehouse)?

Data warehouse refers to creating an information database from business data and optimizing it for decision-making and analysis. The information in the data warehouse is a topic-oriented, integrated, stable and time-changing data set to support the process of management and decision-making.

The data comes from multiple data sources and is integrated into a single database.

What is the difference between a data warehouse and a database?

The database is designed for transaction, and the data warehouse is designed for topic.

Databases generally store online transaction data, while data warehouses generally store historical data.

The database design is to avoid redundancy as far as possible, and the data warehouse is designed to introduce redundancy intentionally.

The database is designed to capture data, and the data warehouse is designed to analyze data.

Want to know more about such problems and practices?

Huawei DWS can find out which data warehouse is better:

Huawei data Warehouse Service (Data Warehouse Service, referred to as DWS) is based on Huawei FusionInsight LibrA enterprise data warehouse kernel, providing ready-to-use, scalable and fully managed analytical database services. Compatible with PostgreSQL ecology, users can mine and analyze massive data economically and efficiently based on standard SQL and business intelligence (BI) tools, and the cost is much lower than that of traditional data warehouses.

What more do you want to know?

What are the mainstream data warehouses in the industry that can be applied?

How to ensure the security of customer data warehouse service?

How to use data warehouse services, create warehouse clusters, and import sample data for search and analysis?

For more information, visit Huawei Cloud College (https://edu.huaweicloud.com/), where there is a comprehensive and systematic introduction to data warehouse services, from data warehouse trends to Huawei Cloud DWS services, as well as detailed instructions on how to use DWS (https://education.huaweicloud.com:8443/courses/course-v1:HuaweiX+CBUCNXE004+2018.7/about?isAuth=0&cfrom=hwc).

Learn online anytime, anywhere, and understand the operation practice online. Huawei Cloud College, witness your every step of growth!

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