Data professionals

We are at an incredibly exciting technology inflection point.

AI is fueling the next wave of transformative innovations that will change the world. With Azure AI, our goal is to empower organizations to apply AI across the spectrum of their business to engage customers, empower employees, optimize operations and transform products.

Recommendation systems are used in a variety of industries, from retail to news and media. If you’ve ever used a streaming service or ecommerce site that has surfaced recommendations for you based on what you’ve previously watched or purchased, you’ve interacted with a recommendation system.

Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective.

The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models.

Spotlight Cloud is the first built on Azure database performance monitoring solution focused on SQL Server customers.

We’re excited to announce Cray ClusterStor in Azure, a dedicated solution to accelerate data processing of the most complex HPC jobs running in Azure.

We are happy to share the second preview release of the Azure Services App Authentication library, version 1.2.0. This release enables simple and seamless authentication to Azure SQL Database for existing .NET applications with no code changes – only configuration changes!

You no longer have to be a database expert to optimize your database. Make your job easier and start taking advantage of Azure Database for PostgreSQL Recommendation for Microsoft Azure Database for PostgreSQL today.

Today at Spark AI Summit 2019, we’re excited to introduce a new set of models in the SparkML ecosystem that make it easy to leverage the Azure Cognitive Services at terabyte scales.

Azure Stream Analytics tools for Visual Studio make it easier for you to develop, manage, and test Stream Analytics jobs.

Data visualization and consumption tools over Azure Analysis Services (Azure AS) sometimes store data caches to enhance report interactivity for users. The Power BI service, for example, caches dashboard tile data and report data for initial load for Live Connect reports.