Database Related Topics 
DZone
NOVEMBER 25, 2023
We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. Yet, the impact of choosing the right NoSQL database goes beyond these parameters; it affects your business outcomes.
DZone
NOVEMBER 15, 2023
These are measurements of search speed by key and data types for the key on the database side. I will use a PostgreSQL database and a demo Java service to compare query speeds. In this article, I want to share my knowledge and opinion about the data types that are often used as an identifier. Today we will touch on two topics at once.
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DZone
DECEMBER 1, 2023
In the era of the Internet of Things ( IoT) , the continuous influx of spatial and temporal data from interconnected devices has given rise to a vast and intricate landscape, demanding a sophisticated approach to database management.
Dynatrace
SEPTEMBER 5, 2023
Running Databases efficiently is crucial for business success Monitoring databases is essential in large IT environments to prevent potential issues from becoming major problems that result in data loss or downtime. However, horizontal scaling of these databases can take time and effort.
DZone
SEPTEMBER 28, 2023
Previously, our application was using one database; developers knew how it worked, and the deployment rarely happened. A single database administrator was capable of maintaining the database, optimizing the queries, and making sure things worked as expected. Cloud and microservices changed the world.
Dynatrace
SEPTEMBER 8, 2023
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.
DZone
JUNE 28, 2023
Database sharding is a powerful technique employed to manage large databases more effectively. It involves partitioning a large database into smaller, more manageable parts, known as shards. The above diagram presents a visual representation of a sharded database.
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