In MongoDB, “denormalization” is encouraged. You actively repeat data and a single document could contain all the information it requires. Joins: SQL provides a JOIN operator so data can be retrieved from multiple normalized tables in a single query. Joining was not possible in MongoDB until...
trend of +0.6% over the previous year. The PYPL index is a data-driven overview of which programming languages are gaining traction based on analysis of language tutorial searches on Google. The assumption is that the more a language tutorial is searched, the more popular the language is. ...
By storing data points in a MongoDB Atlas collection, users can efficiently manage and query large datasets. In combination with machine learning libraries or search platforms, data stored in MongoDB Atlas can be used to perform KNN searches. The process involves: Storing data: utilizing MongoDB...
Azure Data Factory is now available in Sweden Central. You can co-locate your ETL workflow in this new region if you are utilizing the region for storing and managing your modern data warehouse.Learn more Data movement Securing outbound traffic with Azure Data Factory's outbound network rules is...
That evolution has created lots of reasons for its expanding popularity. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. PostgreSQL is also highly extensible,...
Create a time series with the REST API or the MongoDB API If you have applications that handle time series data, you can now create and manage a time series with the REST API or the MongoDB API. Previously, you created a time series by running SQL statements. For example, you can ...
masking.Vector search is facilitated by storage-attached indexes that represent data as vectors in a multi-dimensional space. This enables fast and accurate similarity-based searches, which can be used to build next-generation AI apps that use OpenAI and other LLMs.Learn more in ourblog on ...
This allows for wildcard and range searches, ordering, and so on, as well as in-place encryption within queries, with no loss of security, since the enclave allows both encryption and decryption to happen on the server. You can also perform encryption key rotation within the enclave. ...
Azure Data Factory is now available in Sweden Central. You can co-locate your ETL workflow in this new region if you are utilizing the region for storing and managing your modern data warehouse.Learn more Data movement Securing outbound traffic with Azure Data Factory's outbound network rules is...
Non-relational databases such as MongoDB are the preferred choice for storing many kinds of unstructured data. What is unstructured data used for? Simple content searches can be performed on textual unstructured data. Traditional analytics tools are optimized for highly structured relational data, so ...