Azure Databricks provides a fast, easy, and collaborative Apache Spark™-based analytics platform to accelerate and simplify the process of building big data and AI solutions backed by industry leading SLAs.
Since we announced the limited public preview of Azure Data Lake Storage (ADLS) Gen2 in June, the response has been resounding. Customers participating in the ADLS Gen2 preview have directly benefitted from the scale, performance, security, manageability, and cost-effectiveness inherent in the ADLS Gen2 offering.
We’re excited to report that teams can now use the global cloud database MongoDB Atlas for free on Microsoft 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.
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.
Azure Databricks provides a fast, easy, and collaborative Apache Spark-based analytics platform to accelerate and simplify the process of building big data and AI solutions that drive the business forward, all backed by industry leading SLAs.
Data is more critical than ever in all aspects of modern business. As more organizations embark on digital transformation and embrace a data-driven culture, a common IT challenge is building the definitive source of truth for trusted, curated data.
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.
