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Want faster SQL queries? Here are nine best practices for writing SQL queries that work like a charm (or at least, like they should).
InfoWorld recognizes the year’s best products in software development, cloud computing, data analytics, AI, and machine learning.
SQL is a convenient way to manage and query your data, but badly written queries can tie up your database. Here are seven common SQL traps and how to avoid them.
Why is the language developers and DBAs use to organize our data such a mess? Here are nine reasons we wish we could quit SQL, even though we probably won't.
There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.
I’m having ‘Sixth Sense’ moments when I see dead databases walking. With GenAI poised to eat your data for lunch, it’s time to fix performance problems.
Event-driven architectures are wonderful. But Kafka was never intended to be a database, and using it as a database won’t solve your problem.
Generative AI was the watchword at re:Invent 2023, as AWS rolled out new chips, foundation models, updates to its generative AI-based application building service Amazon Bedrock, a new generative AI assistant dubbed Amazon Q, support for vector data
Postgres is the elephant of relational database management systems. And Postgres 16 is the biggest elephant of them all.
The updates include the addition of new foundation models along with vector capabilities for several databases.