Data Management | News, how-tos, features, reviews, and videos
At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use
Here are the most common uses for the cloud and which Amazon Web Services components you need for them
The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches.
Get an overview of AWS Lambda's nanoservices architecture and execution model, then build your first Lambda function in Java
The growing third-party market is a key indication that MongoDB has moved from mere maturity to one of the dominant players in this market
Defining data democratized.
While still emerging as an enterprise practice, dataops is increasingly driving teams to collaborate and organize in new ways to build, manage, deploy, and monitor data-intensive applications
While AI has been getting all the press, the elephant in the room is training data
Hybrid has become better understood and less risky, but is still far from simple
Cosmos DB’s all-in-one-approach seems to be what developers really want, rather than an array of specific tools like AWS DynamoDB, Redshift, and Aurora