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The first step to sizing or scaling Kafka for optimal cost and performance is understanding how the data streaming platform uses resources. Here’s a primer.
The lingua franca of databases, Structured Query Language is ubiquitous, powerful, and important for developers to understand. Start with these tips.
Large language models have immense potential, but also major shortcomings. Knowledge graphs make LLMs more accurate, transparent, and explainable.
Data-driven decision-making suffers from a mismatch between the tools, skills, and understanding of IT and data consumers in most enterprises. Here’s how to bridge the gap.
The new generative AI features are incorporated in MongoDB’s Relational Migrator, Compass, Atlas Charts tools, and its Documentation interface.
The initiative is a result of the managed Apache Kafka service provider partnering with the likes of MongoDB, Pinecone, Rockset, Zilliz, Google Cloud, and Microsoft Azure.
The serverless database model can be a great solution for unpredictable workloads and a number of other scenarios. Just don’t view it as the end all be all.
Generative AI was the watchword at CloudWorld 2023, as Oracle rolled out a new API-led AI service and updates to Database 23c, MySQL HeatWave, Fusion Cloud applications, and other products.
The new generative AI capabilities and the Vector Store are currently in private preview.
The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators.