As a first-time user of MaxCompute, I know a lot. Out of the box, MaxCompute has an integrated interface that you don’t have to worry about cluster setup, configuration, and o&M. In MaxCompute, you can upload data, analyze the data, and get the results with a few clicks.
As a fast, fully managed TB/ Petabyte data warehouse solution, MaxCompute not only provides traditional command-line operations, but also provides a rich Web side operation interface. For data development, testing, publishing, data flow, data rights management are very good, support Python, Java UDF, for complex logical queries also support traditional MapReduce, but also support a variety of machine learning algorithms, very good.
MaxCompute provides unified project management for us. In actual development, each team has its own project and manages its own project by itself. Through project isolation, data and tasks can be effectively prevented from being modified or deleted by other teams. Unless the pro project task is wrong, it will not affect the tasks of other business lines, and minimize the impact of each business.
Meanwhile, the big data development suite is closely related to MaxCompute. The big data development suite provides MaxCompute with one-stop data synchronization, task development, data workflow development, data management, data operation and maintenance, and other functions.
When there is too much data to process and the data becomes complex enough, the data often needs to be processed in different modes. Besides, good tools need to be available for analysis and management when problems occur. In fact, these are all problems that developers need to face. At the same time, Ali Cloud provides us with DATA IDE environment to solve the above problems.
In the process of DATA analysis, DATA IDE can support SQL syntax and syntax highlighting, while realizing code completion and other functions. Even if developers are not familiar with THE SYNTAX of SQL, they can easily operate according to the key word prompts provided by the DATA IDE. Metadata can also be integrated into the DATA IDE to give developers hints about tables, fields, and functions as they write SQL statements.
During the task execution, we can see the execution status and detailed information of the job through the IDE. Even if there is a problem in the job, the IDE can easily locate the problem and help the developer to find out which is the bottleneck in the job.
Max Compute also provides us with a flexible and lightweight self-service BI tool service platform based on cloud computing —–Quick BI.
Quick BI allows you to add multiple data sources for real-time online analysis of different data sources.
Quick BI provides us with a wealth of visualizations that we can choose from according to the different needs of the industry to provide a clearer and more accurate report for decision making. Moreover, its working environment based on WEB pages, drag-and-drop operation mode similar to EXCEL, one-click import, real-time analysis, and flexible change of data analysis perspective are the icing on the cherry.
For the completed report chart, the report can be embedded into the third party software in the way of interface, so as to facilitate their own analysis and query.
In short, MaxCompute is a good choice for both learning and working. With the progress of The Times and the development of science and technology, the pace of big data is getting closer and closer to us. There is more knowledge that we need to learn and practice. Let’s act quickly and join in.
Author: Wang Aijun Big Data R&D Manager of Beijing Moss Data Technology Co., LTD