Handle Large-Scale Data Warehouse with MaxCompute Service

With an increasing number of enterprises production, businesses are heading the sky. A day-by-day large amount of data gets added to the data warehouse which is enormous. Business intelligence helps to cater to these data, but it is not satisfactorily giving productivity. These data can be useful to enhance the productivity of organizations.

Conduct large-scale data warehousing with MaxCompute. MaxCompute not only flexible in handling large amounts of data but also fully managed over multi-tenancy.

MaxCompute is a big data computing service that helps to handle the advanced levels of data warehouse solutions. MaxCompute is a distributed computing service that helps in the calculation of large-scale data from the data warehouse and provides in a much simple way to reduce time, and cost.

MaxCompute & ML Platform is an end to end analytics platform which combines SQL data warehousing, big data analytics, and data integration into a single integrated environment.

Let’s take an example of a retail store, where they generate every day a massive amount of data. MaxCompute combines these amass retail lifecycle data including customer data, operations data, sourcing and supplier data as well as transaction data with analytics.

MaxCompute helps to reduce churn, enhances loyalty, advances customer journeys, enables the ability to conduct contextual marketing, measure attribution, and provide insights across the enterprise to holistically drive growth across the organization.

Fig: Alibaba DataV Retail Dashboard

This figure is an illustration of the Alibaba Cloud DataV Retail Dashboard example. With MaxCompute and ML platforms, Alibaba uses DataV for the graphical representation of the data. This helps to understand the data in a more easy way. Say, for example, this diagram will show you the details of the sale, cost of products in analytics form, sales per region through the map, different types of store department in chart format, and so forth.

This helps users to understand the data in a more easy way rather than making research and analysis of data gathered in the data warehouse. So with the help of MaxCompute, DataV, AI/ML the understanding of massive data becomes much easier.

The main purpose of MaxCompute is to do the storage of structured data. It manages to do the distribution of computing models, to analyze the massive datasets so that users can effectively use them.

Advantages of MaxCompute

1. Security: MaxCompute provides secure data in terms of managing it and utilizing it, no matter how large the data is.
2. Cost Saving: Users do not have to spend much on buying software, keeping expertise to manage and sort the data. MaxCompute does this automatically which ultimately leads to cost-saving.
3. Fully Managed: MaxCompute is a fully managed service by Alibaba which allows its customers to have manage data in their data set.
4. Analytics Platform: MaxCompute is an analytics platform where it operates with ML platforms, big data analytics, SQL data warehousing, and data integration.

Conclusion

Retail, enterprises, organizations large amounts of data which is combined collectively on regular days can be of use for analysis by many companies. But to manage these heterogeneous amounts of data is a lethargic job. MaxCompute helps customers to handle efficiently these large-scale data in a single repository called a data warehouse. With the help of MaxCompute the data produced in sorted, collective with graphical visualization which is convenient for users to manage.