We all want the truth. To properly assess your cloud analytics provider, ask them about the only three things that matter: independent benchmark results, company-wide access to insights, and security & privacy.
In December 2018, Microsoft launched the Azure IoT certification service, a web-based test automation workflow to streamline the certification process through self-serve tools.
Data is referred to these days as “the new oil” or “black gold” of industry. If the typical Fortune 100 company gains access to a mere 10 percent more of their data, that can result in increased revenue of millions of dollars.
This blog post continues the Azure SQL Database architecture series where we share background on how we run the service, as described by the architects who originally created the service.
It has been inspiring to watch how customers use Azure Stack to innovate and drive digital transformation across cloud boundaries. In her blog post today, Julia White shares examples of how customers are using Azure Stack to innovate on-premises using Azure services.
Customers who are taking a hybrid cloud approach are seeing real business value – I see this in organizations across the globe.
As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).
Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive.
A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL.
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.
When you are working with a database, or any other kind of software, your experience is enhanced or hindered by the tools you use to interact with it.
We’re excited to announce a partnership with Timescale that introduces support for TimescaleDB on Azure Database for PostgreSQL for customers building IoT and time-series workloads.
