Data professionals

Customers around the world rely on Microsoft Azure to drive innovations related to our environment, public health, energy sustainability, weather modeling, economic growth, and more.

In May, we announced a groundbreaking partnership with Redis Labs to bring their Redis Enterprise software to Azure as a part of Azure Cache for Redis. We were humbled by the level of excitement and interest we received.

The Linux and open-source landscapes are changing rapidly. With so many companies embracing remote work and operations this year, we’re seeing more organizations running large-scale, mission-critical Linux and open-source workloads than ever before. IT teams need technical resources that can keep up—now.

As healthcare providers have faced unprecedented workloads (individually and institutionally) around the world, the pandemic response continues to cause seismic shifts in how, where, and when care is provided. Longer term, it has revealed the need for fundamental shifts across the care continuum.

It’s no secret that organizations consider data as one of their most valuable assets and are investing to build their capability for data-driven decision making.

To further accelerate time to insight in Azure Synapse Analytics, we are introducing the Knowledge center to simplify access to pre-loaded sample data and to streamline the getting started process for data professionals.

To enable companies to gain real-time insights on the critical data in their Oracle E-Business Suite, we are announcing a new offer with Incorta that brings Azure Synapse Analytics, Power BI, and Incorta together for end-to-end finance analytics.

Between waves of pandemics, hurricanes, and wildfires, you don’t need cloud infrastructure adding to your list of worries this year. Fortunately, there has never been a better time to ensure your Azure deployments stay resilient.

Earlier this year we announced a free ‘introduction to Machine Learning’ course with Udacity, empowering 10,000 scholars from all over the world to learn the basics of machine learning.

The last six months have seen an unprecedented acceleration in digital transformation. There has never been a more important time for DBAs and developers to prepare for an increasingly cloud-centric future. However, we’d like to make this interesting and fun.

Organizations today are striving to build agility and resilience to the fast-changing environment we live in. AI and machine learning innovation can help tackle these emerging challenges and enable cost efficiencies.

Data is growing exponentially, and over 80 percent of data is unstructured, creating a challenge for organizations to find and surface the right information to their customers.