azure sql database
Site Reliability Engineer II - Remote Tech Jobs
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. As a member of our engineering team within Azure Data group, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. Are you passionate about building state of the art software and running it as a service? Do you enjoy debugging and solving complex problems? Do you want to work in a world class engineering team with an exceptional record of innovation and execution that has made us one of the largest businesses within Microsoft?
- Information Technology > Artificial Intelligence (0.73)
- Information Technology > Software (0.72)
- Information Technology > Cloud Computing (0.50)
Introducing the Microsoft Intelligent Data Platform
We are moving to a world where every application needs to be intelligent and adaptive to real-time model learning. As businesses build modern data capabilities, they must make decisions at the speed of human thought. Developers are challenged by this, given the huge silos that exist between databases and analytic products, and the complexity of a fragmented data estate can hamper the speed of agility and innovation. What is needed is a consistent data ecosystem. To help address the fragmentation that exists today between databases, analytics and governance, and enable organizations to unlock these new capabilities, we shared several exciting announcements today at Microsoft Build that demonstrate our continued innovation and investment in the data products our customers have come to know and trust, which will enable our customers to achieve the kind of sustained agility that allows them to pivot and adapt in real-time, add layers of intelligence to their applications, unlock fast and predictive insights, and govern their data--wherever it resides.
- Law (0.30)
- Information Technology > Security & Privacy (0.30)
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Architecture > Real Time Systems (0.57)
- Information Technology > Data Science > Data Mining > Big Data (0.54)
Microsoft Reactor Abu Dhabi (Abu Dhabi, U.A.E.)
Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It's evergreen and always up to date, with AI-powered and automated features that optimize performance and durability. In this session, we will cover the foundations of Azure SQL Database Service (the most matured PaaS offering on Azure), showcase multiple demos, and learn why it is a database of choice for a variety of applications. We will cover various modern application use cases, and customer examples. By attending this workshop, you will learn about Azure SQL Database, the most matured cloud relational database in the cloud.
Personal Assistants In The Cloud And Clippy's Comeback! Build Azure
Are they relevant, or just a fad like the Nintendo Wii? There seem to be personal assistants being added to everything, from smartphones, to watches, to speakers. And now, a Personal Assistant is coming to Microsoft Azure. Microsoft is reviving Clippy to be the Cloud Assistant you need for helping work with and maintaining your Microsoft Azure cloud resources. Personal Assistants are great at helping with very specific tasks like setting reminders and using voice commands to get stuff done.
Harness the future with the ultimate hybrid platform for data and AI
Today I'm excited to give the Day 1 keynote at PASS Summit v.20, a gathering of our longtime community of SQL Server users and data professionals. PASS Summit is an amazing chance to see the faces of old and new friends. It's a place to meet with customers and fans to continually learn about their evolving needs and to help us grow as a SQL community and develop the best data platform products in the market. Now more than ever, we are architecting for hybrid, because we are hearing from customers that they will be running data workloads on-premises and in the cloud – rarely just one or the other. We believe that the value Microsoft can add is to provide a great and consistent experience wherever they deploy.
- Information Technology > Data Science > Data Mining > Big Data (1.00)
- Information Technology > Artificial Intelligence (0.97)
AI helps troubleshoot an intermittent SQL Database performance issue in one day
In this blogpost, you will learn how Azure SQL Database intelligent performance feature Intelligent Insights has successfully helped a customer troubleshoot a hard to find 6-month intermittent database performance issue in a single day only. You will find out how Intelligent Insights helps an ISV operate 60,000 databases by identifying related performance issues across their database fleet. You will also learn how Intelligent Insights helped an enterprise seamlessly identify a hard to troubleshoot performance degradation issue on a large-scale 35TB database fleet. Azure SQL Database, the most intelligent cloud database, is empowering small and medium size business, and large enterprises to focus on writing awesome applications while entrusting Azure to autonomously take care of running, scaling, and maintain a peak performance with a minimum of human interaction, or advanced technical skill set required. Intelligent Insights is a new disruptive intelligent performance technology leveraging the power of artificial intelligence (AI) to continuously monitor and troubleshoot Azure SQL Database performance issues with a pinpoint accuracy and at a large scale simply not possible before.
Cloud data and AI services training roundup May 2018
To help you stay up to date on online training opportunities, we're releasing a monthly list of the latest free Data and Artificial Intelligence (AI) sessions in one convenient post. Azure SQL Database is the intelligent, fully managed relational cloud database service that provides the broadest SQL Server engine compatibility, so you can migrate your SQL Server databases without changing your apps. Accelerate app development and make maintenance easy and productive using the SQL tools you love to use. Here's a rundown of recent and upcoming training sessions to help you learn more. Getting ahead means embracing digital transformation to leverage the cloud.
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Databases (0.77)
Bringing AI to BI – Text Analytics in Azure Machine Learning
The core of the Bing News template starts with an Azure Logic App, which polls for news articles from the Bing News API at a preset schedule (5 minutes) on a list of user specified topics. As the data makes its way through the Logic App, the actual news article text is retrieved and sent through a series of Azure Functions for basic data transformation. Next, the Microsoft Text Analytics Cognitive Service is used for keyphrase and sentiment extraction over the text body. These text enrichments could alternately be performed in the Azure ML portion of the pipeline using the "Extract Key Phrases from Text" module. At this point, the data along with some basic enrichments are stored in an Azure SQL database.
Artificial Intelligence tunes Azure SQL Databases
To stay competitive, today's businesses need to make sure that they focus on their core competencies that directly deliver customer value while relying on their cloud provider to offer an affordable, reliable, and easy to use computing infrastructure that scales with their needs. In the world of cloud services, where many aspects of running the application stack are delegated to the cloud platform, having artificial intelligence to manage resources is a necessity when dealing with 100,000's of resources. Azure SQL Database is continuously innovating by building artificial intelligence into the database engine to improve performance, reduce resource usage, and simplify management. The most prominent use of artificial intelligence is the automatic tuning feature that has been globally available since January 2016. Automatic tuning uses artificial intelligence to continuously monitor database workload patterns and recognize opportunities to improve the database performance.
- Europe > Netherlands (0.05)
- North America > United States (0.05)
Serving AI with data: A summary of Build 2017 data innovations
This week at the annual Microsoft Build conference, we are discussing how, more than ever, organizations are relying on developers to create breakthrough experiences. With big data, cloud and AI converging, innovation & disruption is accelerating to a pace never seen before. Data is the key strategic asset at the heart of this convergence. When combined with the limitless computing power of the cloud and new capabilities like Machine Learning and AI, it enables developers to build the next generation of intelligent applications. As a developer, you are looking for faster, easier ways to embrace these converging technologies and transform your app experiences.
- Information Technology > Databases (1.00)
- Information Technology > Cloud Computing (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.72)
- Information Technology > Artificial Intelligence > Machine Learning (0.69)