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.
Getting the most out of your data is critical for any business in a competitive environment. Businesses need the ability to get the right data into the right hands at the right time.
We are excited to announce that Microsoft has once again been positioned as a leader in Gartner’s 2018 Magic Quadrant for Data Management Solutions for Analytics (DMSA).
Last week in Azure, several announcements were made for capabilities now in public preview that build on Azure Availability Zones. In addition, new backup and update capabilities make it easier to manage and help protect your virtual machines.
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…
Introducing Azure Databricks, Azure Cosmos DB with Apache Cassandra API, and Azure Database for MariaDB, to name a few…
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