What is meant by Data indexing?

"Datenindexierung" refers to the process of organizing and structuring data for efficient search, query, and analysis. This involves storing data in a specific format or structure to optimize access and processing.

Typical modules and functions of software in the "Datenindexierung" area are:

Index Creation: A module for creating indexes for the stored data. This process involves extracting keywords, metadata, or other identifiers from the data and storing this information in an index.
Search Functions: Functions for performing search queries in the indexed data. Users can search for specific keywords, phrases, or criteria and retrieve relevant data quickly and efficiently.
Metadata Management: Management of metadata containing additional information about the stored data. This may include the type of content, creation date, author, or other relevant properties.
Filtering and Sorting: Functions for filtering and sorting data based on specific criteria or parameters. Users can narrow down the displayed data and organize it according to their needs.
Updating and Synchronization: Mechanisms for regularly updating and synchronizing the index with the current data. This ensures that the index is always up to date and reflects changes in the data.
Scalability and Performance Optimization: Functions for handling large volumes of data and optimizing performance in indexing and searching. This includes methods for data partitioning, parallel processing, and optimization algorithms.