Over the past decade, Microsoft has partnered with the National Science Foundation (NSF) on three separate programs, first in 2010, and more recently through a commitment of $6M in cloud credits across two NSF supported data science programs – with the Big Data Regional Innovation Hubs and as part of the NSF BigData solicitation.
Today we’re pleased to announce three new Time Series Insights (TSI) explorer capabilities that we think our users are going to love.
AZTK lets you to provision on-demand GPU enabled Spark clusters on top of Azure Batch's infrastructure, helping you take your high-performance GPU code and distribute it across your Spark cluster.
If you’re still struggling to get valuable insights from your data, now is the perfect time to try something new! Microsoft recently announced Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure.
Join Microsoft, Qubole, and Precocity on January 20, 2018 for a Hands on workshop of Qubole Data Services on Azure and how you can maximize data insights from your customers to accelerate purchasing decisions.
If you are a data scientist and want to explore the data and understand what is being saved and what the hierarchy of the folder is, please try DATALAKE EXPLORER in VSCode ADL Tools.
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…
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…
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…
Today, we announced the general availability (GA) of Azure Time Series Insights (TSI).