Azure Databricks

Today my team is in Orlando, meeting with technical and business decision makers interested in how Blockchain can transform the way they do business and wondering just how to get started with Blockchain on Azure.

Today at Microsoft Ignite in Orlando, I shared how the confluence of Cloud, Data, and Artificial Intelligence (AI) is driving unprecedented change and is rapidly becoming foundational to innovation in every industry.

AI, data and cloud are bringing in the next wave of transformative innovations across industries. With Azure AI, our purpose is to empower organizations to use AI to engage customers, empower employees, optimize operations and transform products.

In this blog we’ll discuss the concept of structured streaming and also how to build a data ingestion path directly using Azure Databricks enabling the streaming of data in near-real-time.

There is a massive opportunity in machine learning and artificial intelligence, that is powered by both intelligent cloud and intelligent edge.

Data is transformative. The ability to turn data into breakthrough insights is foundational to remain relevant in an increasingly competitive market.

Data science and machine learning can be applied to solve many common business scenarios, yet there are many barriers preventing organizations from adopting them.

Azure Databricks general availability was announced on March 22, 2018. Now Azure Databricks is fully integrated with Azure Data Factory (ADF).

Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.

The confluence of cloud, data, and AI is driving unprecedented change.