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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 290
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Top PostgreSQL 17 New Features

Scalegrid

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Improved JSON Handling & Security: Improved logical replication and the new MAINTAIN privilege give database administrators more control and flexibility. Start your free trial today!

Speed 130
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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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NoSQL Data Modeling Techniques

Highly Scalable

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document databases advance the BigTable model offering two significant improvements.

Database 279
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

JSON is the most common format used by web services to exchange data, store documents, unstructured data, etc. Why should a relational database even care about unstructured data? Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSON database in 9.2

Storage 321
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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130
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Cosmos DB as Key Object Store

DZone

Cosmos DB is a multimodal database in Azure that supports schema-less storage. By default, Cosmos DB containers tend to index all the fields of a document uploaded. For key object storage, RU tends to be less, but it still depends on the payload size. Cosmos DB can be a good candidate for a key-value store.

Azure 243