Data Management | News, how-tos, features, reviews, and videos
The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice.
A modern AI-enabled iPaaS solution that supports collaborative workflow design and management can break down silos between IT and business teams and propel automation initiatives forward.
A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.
The enhancements to cloud databases are expected to help in the development of AI-based and real-time applications.
With Spanner Graph, full-text search, and vector search, Google Cloud Spanner becomes a multi-model database with intelligent capabilities that support AI applications, Google said.
A quick, step-by-step guide to setting up, configuring, and managing a MySQL database server on Windows, Linux, and macOS.
Explore the popular and powerful React + Java + Spring stack by incorporating a service layer and a MongoDB instance for data persistence.
Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
Vector database offers on-prem, cloud-native, or SaaS deployment, leading performance, a rich set of integrations and language drivers, and a dizzying array of optimization options.
Distributing workloads among various providers offers protection from failure, but make sure your business can handle the complexity and costs.