Microsoft 365 boosts usage analytics with Azure Cosmos DB
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
Unlock the full potential of your data with content crafted for data professionals, offering advanced insights and practical solutions. It’s the edge you need to harness the power of your data and lead the way in innovation.
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
In Craig Kerstiens‘s latest blog post, “A health check playbook for your Postgres database” he emphasizes the need for periodic checks for your Postgres databases to ensure it’s healthy and performing well.
Customers across industries including healthcare, legal, media, and manufacturing are looking for new solutions to solve business challenges with AI, including knowledge mining with Azure Search.
Today, we are excited to share that Azure Premium Files preview is now available to everyone! Premium files is a new performance tier that unlocks the next level of performance for fully managed file services in the cloud, while also empowering developers and IT pros.
At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new native support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs.
The world of data changes at a rapid pace, with more and more data being projected to be stored and processed at the edge.
Artificial intelligence (AI) has become the hottest topic in tech. Executives, business managers, analysts, engineers, developers, and data scientists all want to leverage the power of AI to gain better insights to their work and better predictions for accomplishing their goals.
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.
As the amount of data stored and queried continues to rise, it becomes increasingly important to have the most price-performant data warehouse.
Delivering new, transformational capabilities increasingly requires that we develop for ourselves competencies which we’d previously turned to our suppliers for. Our experience building Azure public cloud services over the last several years bears this out.
Easily build intelligent globally distributed apps running at planet scale with Azure Cosmos DB.
In today’s data-driven world, driving digital transformation increasingly depends on our ability to manage massive amounts of data and harness its potential. Developers who are building intelligent and immersive applications should not have to be constrained by resource limitations that ultimately impact their customers’ experience.