Creating native MacOS background apps with .NET
For those who are already familiar with Windows Services, with .NET, you traditionally create a Windows Service project using the .NET Framework. But with…
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 59 of 92
For those who are already familiar with Windows Services, with .NET, you traditionally create a Windows Service project using the .NET Framework. But with…
DDM is a policy-based security feature that hides sensitive data in query results. The data in the database is not modified, making it ideal for scenarios…
In September 2022, I woke up to another morning of a portfolio in the red—stocks, ETFs, crypto, even gold all down simultaneously, while the RBA's interest…
Always Encrypted uses column encryption keys (CEKs) protected by column master keys (CMKs) to encrypt sensitive columns. The database engine never has…
In one of the small projects I'm working on Rust, I actually need to send huge amount of messages on to the cloud and Azure Event Hubs is my preferred…
Ledger tables maintain a complete history of all changes with cryptographic hashes, making it possible to verify that data hasn't been tampered with.
Not to confuse yourself with Xamarin.Mac and MAUI for Mac Catalyst, they are different from this. Xamarin.Mac is an abstraction on a lot of Cocoa based…
Azure SQL Database's continuous improvements make it an excellent choice for cloud-native applications requiring robust, scalable database capabilities.
Pipes - a communication channel between two processes. Streams - a data collection that moves from a source to a destination.
Exploring the local neighborhood of a vertex is one of the most common operations in graph databases.
Mastering Gremlin opens up powerful graph analytics capabilities in Azure Cosmos DB.
The project itself is open-source and I've noticed a lot of "managed" Kafka offering around. I myself have been using a flavour of Kafka (Azure Event Hubs)…
Graph databases unlock powerful relationship-based queries that would be complex or impossible with traditional relational approaches.
Graph databases excel at representing relationships between entities. Unlike relational databases where joins can become expensive, graph databases traverse…
Azure Cosmos DB for Apache Cassandra bridges the gap between familiar Cassandra development and cloud-native scalability.
Azure Cosmos DB's MongoDB API provides a powerful option for teams wanting MongoDB compatibility with Azure's enterprise-grade platform.
PITR works with the continuous backup feature to provide granular recovery options. You can restore entire accounts, specific databases, or individual…
Unlike periodic backup mode, continuous backup captures every change as it happens, allowing granular point-in-time recovery down to the second.
When your Cosmos DB container isn't fully utilizing its provisioned throughput, the unused capacity accumulates as burst credits. These credits can be used…
Traditional single partition keys can lead to hot partitions in scenarios where data is naturally hierarchical. Hierarchical partition keys solve this by…
The latest updates bring significant performance enhancements to Cosmos DB, including optimized query execution and improved throughput management.
Custom skills unlock unlimited possibilities for AI enrichment tailored to your specific business needs.
Skillsets enable powerful AI-driven content enrichment during the indexing process.
Debug sessions are essential for developing and troubleshooting complex AI enrichment pipelines efficiently.