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How to apply database application technology in data analysis?

Introduction in the process of data processing and data analysis, some of the values need to check the table to get, that in the processing and analysis of large amounts of data and check the table is very frequent, in order to be able to improve the accuracy of the results of the verification and to avoid checking the data to avoid the presentation of the error, many visual programming tools for rapid processing and data analysis provides a very powerful help. So how to apply database application technology in data analysis? Then look down.

The database is generally divided into contact data rows and non-contact database, contact database refers to the use of the contact model to organize the data database, its rows and columns of the situation to store the data, in order to facilitate the user's understanding of the contact database this series of rows and columns is known as the table, a set of tables form the database. That non-associative database is the generation of NoSQL is a very good solution to the large-scale data collection of multiple data varieties brought about by the challenges, especially the use of big data challenges. Contact database and non-contact database in the field of big data analysis can not be said to use a lot.

The first brief introduction to the advantages of non-connected databases - easy to scale, large data volume, high functionality, database structure is simple. These strengths of the resolution of its scalability at the level of the architecture is very strong, read and write functionality is also very high, especially the unconnected nature of the data, which is its difference from the most important features of the linked database.

Contact database is characterized by the storage method using the table method, white with a structured method of storing data, in order to avoid duplication, standardization of data and make full use of the storage space, the data in accordance with the situation of the smallest contact table for storage, so that the data management can become very clear and clear at a glance. At the same time, the contact type database only has the ability to expand vertically, the expansion of the space is also limited, so in the data analysis and data processing needs to pay special attention.

Alternatively, although the reliability of the linked database to store and process data is very good, but once faced with the massive data processing power will become very poor, especially when encountering high concurrency read and write function will decline, then in the face of the massive data for big data analysis, we must pay special attention to the process of reading and writing.

On how to apply the database in data analysis, I will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.