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SQL: creating a database
Relational databases play a key role in the design and development of any software application. Learning how to model and…
Firebase: how to integrate a real-time database in Python
Firebase is a Google Cloud product that can. be used to build web applications quickly and easily. Among its features…
MongoDB 6.0: new features to improve applications
The new version of MongoDB provides new features to both improve the efficiency of some operations and increase developer productivity.…
Elasticsearch: aggregation pipeline
Elasticsearch offers the ability to extract statistics and data sets using aggregation functions. In many contexts, however, it is necessary…
![Elasticsearch: bucket aggregations [part 2]](https://cdn.shortpixel.ai/spio/ret_img+q_cdnize+to_webp+s_webp/flowygo.com/wp-content/uploads/2022/09/elasticsearch-logo-aggregation_bucket.png)
Elasticsearch: bucket aggregations [part 2]
With Elasticsearch’s bucket aggregations we can create groups of documents. Having seen in the previous article aggregations based on keyword…
Elasticsearch: bucket aggregations [part 1]
With Elasticsearch’s bucket aggregations we can create groups of documents. In this article we will mainly focus on aggregations based…
Elasticsearch: metric aggregations
In addition to text search, Elasticsearch allows analysis on data using aggregations. Among the various types of aggregation available, the…
Elasticsearch: the aggregation types
Elasticsearch is a widely used NoSQL database for developing search engines because of its ability to index text appropriately. But…
Elasticsearch: join and bonus queries
Elasticsearch is a very good NoSQL database for performing efficient searches on textual and structured data. Despite this, it does…