Data Management | News, how-tos, features, reviews, and videos
Hoping to increase speed and agility, most people want to decouple databases and infrastructure in their cloud computing solutions. That's a bad idea.
Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.
The next frontier for data processing is a new platform capable of delivering insights, actions, and value the instant data is born.
The NoSQL database specialist is making its managed Atlas service available on a serverless basis, and has announced a host of updates to version 5.0 of its core product.
See how to use R to query data in Google BigQuery with the bigrquery and dplyr R packages.
Time series analysis involves identifying attributes of your time series data, such as trend and seasonality, by measuring statistical properties.
High-performance computing projects require massive quantities of compute resources. Pairing simulation and specialized hardware with the cloud powers the breakthroughs of the future.
Early scaling decisions can come back to haunt you. Follow these tips to ensure that data sharding actually helps, rather than hinders, the scalability of your application.
An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data.
MongoDB is a leading NoSQL solution that delivers on the promise of flexible-schema data stores, offering developers a faster, easier, and more natural way of building applications.