Thursday, November 30, 2017
We are excited to introduce the integration of Azure Data Lake (ADL) Python & R extensions into Visual Studio Code (VSCode), which allows you to easily edit Python or R scripts for your custom…
Monday, November 27, 2017
We are happy to announce the technical reference implementation of an enterprise grade infrastructure to help accelerate the deployment of a BI and reporting solution to augment your data science and…
Thursday, November 16, 2017
We are happy to announce that the Apache Spark to Azure Cosmos DB Connector is now generally available. It enables real-time data analytics and data science, machine learning, and exploration over…
Wednesday, November 15, 2017
Today, we announced the general availability (GA) of Azure Time Series Insights (TSI).
Wednesday, November 15, 2017
Today at Microsoft Connect(); we introduced Azure Databricks, an exciting new service in preview that brings together the best of the Apache Spark analytics platform and Azure cloud...
Tuesday, October 10, 2017
Imagine reducing your training time for an epoch from 30 minutes to 30 seconds, and testing many different hyper-parameter weights at the same time. Available now in public preview, Batch AI is a new service that helps you train and test deep learning and other AI or machine learning models with the same scale and flexibility used by Microsoft’s data scientists.
Wednesday, October 4, 2017
Azure Distributed Data Engineering Toolkit - a open source python CLI tool that allows you to provision on-demand Spark clusters and submit Spark jobs directly from your CLI.
Tuesday, October 3, 2017
We are very pleased to announce the Public Preview of the CSV format support for the Azure Consumption and Charge Usage Detail API. In Aug 2017, we released the generally available version of the Azure Consumption and Charge APIs with JSON format support.
Monday, September 25, 2017
Today at Microsoft Ignite, we are pleased to announce the preview of several new and compelling capabilities in Azure Stream Analytics. These include built-in inline machine learning based anomaly…
Thursday, September 21, 2017
In July, we released the Azure Analysis Services web designer. This new browser-based experience allows developers to start creating and managing Azure Analysis Services (AAS) semantic models quickly…
