All data, any data, any scale, at any time: Learn why data pipelines need to embrace real-time data streams to harness the value of data as it is created.
Databricks introduced Liquid Clustering at the Data + AI Summit, a new approach that enhances read and write performance by optimizing data layout dynamically.
This article explores ACID transactions in MongoDB. We break down how MongoDB ensures data integrity and consistency by supporting multi-document ACID transactions.
The Backend for Frontend (BFF) design pattern customizes backend services for specific frontends, enhancing efficiency and alignment with frontend needs.
A phased approach focused on quick wins and culture change to connect clinical data, architect it for IT, migrate systems to the cloud, and leverage AI to improve care.
Learn about modern data backup strategies for businesses, including cloud-based backups, data deduplication, blockchain for data integrity, and AI integration.
Optimizing digital applications involves Prefetching, Memoization, Concurrent Fetching, and Lazy Loading. These techniques enhance efficiency and user experience.
Explore the importance of data-driven design patterns and principles. Look at an example of how the data-driven approach works with AI and ML model development.
Flaky tests can cause confusion for developers by producing inconsistent results, making it difficult to determine if a failure is due to a bug or a flaky test.
Master interactive resource charts (Gantt charts for resource allocation) with this step-by-step guide using the FIFA World Cup 2022 schedule as a real-world example.
