Data building refers to the process of collecting, organizing and storing data. It involves organizing data into a structured form through different methods and tools and storing it in a central location for later use and analysis.
Data collection
For electronic data such as Excel, CSV, TXT, WORD, etc., database tools can be used to import the data directly into the database or the current data can be imported into the database by writing an application program. For paper documents, they can be digitized using a scanner or camera and then imported into the database.
Data storage
Choose a suitable database or data warehouse to store the data and ensure the security and reliability of the data. We support databases such as Oracle Database, SQL Server, MySQL, PostgreSQL, DB2, SQLite, Redis, MongoDB and
so on.
Data indexing and retrieval
In order to facilitate subsequent data queries and analysis, it is necessary to index the data in the database and provide retrieval functions.
Data security
Data security is an important issue for data repository, and a series of measures are needed to guarantee data security, such as data encryption, access control and backup recovery.
Through data repository, the organization and management of large amounts of data become more efficient and reliable, making data analysis and decision-making more accurate and targeted.
