The virtual event Azure Synapse Analytics: How It Works is now available on demand. In demos and technical discussions, Microsoft customers explain how they’re using the newest Azure Synapse Analytics capabilities to deliver insights faster, bring together an entire analytics ecosystem in a central location, reduce costs, and transform decision-making.
This post outlines five key reasons to view the one-hour event.
Learn how to deliver powerful insights with speed and ease
Today, it’s critical to have a data-driven culture in your organization. Analytics play a pivotal role in helping many organizations make insights-driven decisions—decisions to transform supply chains, develop new ways to interact with customers, and evaluate new offerings.
At Azure Synapse Analytics: How It Works, customers showed how they combine data ingestion, data warehousing, and big data analytics in a single cloud-native service using Azure Synapse. If you’re a data engineer trying to wrangle multiple data types from multiple sources to create pipelines or a database administrator with responsibilities over your data lake and data warehouse, you’ll see how all this can be simplified in a code-free environment.
Customers also demonstrated how they give their employees access to unprecedented, real-time insights from enterprise data using Azure Synapse with built-in
Organizations around the world are gearing up for a future powered by artificial intelligence (AI). From supply chain systems to genomics, and from predictive maintenance to autonomous systems, every aspect of the transformation is making use of AI. This raises a very important question: How are we making sure that the AI systems and models show the right ethical behavior and deliver results that can be explained and backed with data?
This week at Spark + AI Summit, we talked about Microsoft’s commitment to the advancement of AI and machine learning driven by principles that put people first.
Understand, protect, and control your machine learning solution
Over the past several years, machine learning has moved out of research labs and into the mainstream and has grown from a niche discipline for data scientists with PhDs to one where all developers are empowered to participate. With power comes responsibility. As the audience for machine learning expands, practitioners are increasingly asked to build AI systems that are easy to explain and that comply with privacy regulations.
With massive workforces now remote, the stress of IT admins and security professionals is compounded by the increased pressure to keep everyone productive and connected while combatting evolving threats. Now more than ever, organizations need to reduce costs, keep up with compliance requirements, all while managing risks in this constantly evolving landscape.
Azure Security Center is a unified infrastructure security management system that strengthens the security posture of your data centers and provides advanced threat protection across your hybrid workloads in the cloud, whether they’re in Azure or not, as well as on-premises.
Last week Ann Johnson, Corporate Vice President, Cybersecurity Solutions Group, shared news of an upcoming Azure Security Center virtual event—Stay Ahead of Attacks with Azure Security Center on June 30, 2020, from 10:00 AM to 11:00 AM Pacific Time. It’s a great opportunity to learn threat protection strategies from the Microsoft security community and to hear how your peers are tackling tough and evolving security challenges.
At the event, you’ll learn how to strengthen your cloud security posture and achieve deep and broad threat protection across cloud workloads—in Azure, on-premises, and in hybrid cloud. We will also talk about how to combine Security Center with Azure Sentinel
Azure Lighthouse is launching the “Azure Lighthouse Vision Series,” a new initiative to help partners with the business challenges of today and provide them the resources and knowledge needed to create a thriving Azure practice.
We are starting the series with a webinar aimed at helping our IT service partners prepare for and manage a new global economic climate. This webinar will be hosted by industry experts from Service Leadership Inc., advisors to service provider owners, and executives worldwide. It will cover offerings and execution strategies for solutions and services to optimize profit, growth, and stock value. Service Leadership publishes the Service Leadership Index® of solution provider performance, the industry’s broadest and deepest operational and financial benchmark service.
The impact of a recession on service providers
As we continue through unchartered economic territory, service providers must prepare for possible recovery scenarios. Service Leadership has developed an exclusive (and no-cost) guide for service provider owners and executives called the Rapid Recovery™ Planning Guide, based on historical financial benchmarks of solution providers in recessions, and likely recovery scenarios.
The guide unlocks the best practices used by those service providers who did best in past recessions, as evidenced by their financial performance from
As global organizations across every industry adjust to the new normal, SAP solutions are playing an increasingly vital role in addressing immediate needs and paving a path to a resilient future. Now more than ever, companies are realizing the value of running their SAP solutions in the cloud. While some are using advanced analytics to process their SAP data to make real-time business decisions, others are integrating their SAP and non-SAP data to build stronger supply chains. Whether it’s meeting urgent customer needs, empowering employees to make quick decisions, or planning for the future, customers running SAP solutions in the cloud have been well prepared to face the new reality. Check out how Walgreens delivers superior customer service with SAP solutions on Microsoft Azure.
Many organizations running their SAP solutions on-premises have become increasingly aware of the need to be more agile and responsive to real-time business needs. According to an IDC survey, 54 percent of enterprises expect the future demand for cloud software will increase. As global organizations seek agility, cost savings, risk reduction, and immediate insights from their ERP solutions, here are some reasons many of the largest enterprises choose Microsoft Azure as their trusted partner when moving
Today, it’s even more critical to have a data-driven culture. Analytics and AI play a pivotal role in helping businesses make insights-driven decisions—decisions to transform supply chains, develop new ways to interact with customers, and evaluate new offerings.
Many organizations are turning to cloud analytics solutions to quickly create a data-driven culture, accelerate time to insight, reduce costs, and maximize ROI. Join us on Wednesday, June 17, 2020, from 10:00 AM–11:00 AM Pacific Time for Azure Synapse Analytics: How It Works, a virtual event where you’ll hear directly from Microsoft Azure customers. They’ll explain how they’re using the newest Azure Synapse capabilities to deliver insights faster, bring together an entire analytics ecosystem in a central location, reduce costs, and transform decision-making.
In technical demos, customers will show how they combine data ingestion, data warehousing, and big data analytics in a single cloud-native service with Azure Synapse. If you’re a data engineer trying to wrangle multiple data types from multiple sources to create pipelines, or a database administrator with responsibilities over your data lake and data warehouse, you’ll see how all this can be simplified in a code-free environment.
Customers will also demonstrate how Power BI provides a graphical complement
For the past few years, Microsoft and Red Hat have co-developed hybrid solutions enabling customers to innovate both on-premises and in the cloud. In May 2019, we announced the general availability of Azure Red Hat OpenShift, allowing enterprises to run critical container-based production workloads via an OpenShift managed service on Azure, jointly operated by Microsoft and Red Hat.
Microsoft and Red Hat are now working together to further extend Azure services to hybrid environments across on-premises and multi-cloud with upcoming support of Azure Arc for OpenShift and Red Hat Enterprise Linux (RHEL), so our customers will be able to more effectively develop, deploy, and manage cloud-native applications anywhere. With Azure Arc, customers will have a more consistent management and operational experience across their Microsoft hybrid cloud including Red Hat OpenShift and RHEL.
What’s new for Red Hat Customers with Azure Arc
As part of the Azure Arc preview, we’re expanding Azure Arc’s Linux and Kubernetes management capabilities to add support specifically for Red Hat customers, enabling you to:
Organize, secure, and govern your Red Hat ecosystem across environments
Many of our customers have workloads sprawling across clouds, datacenters, and edge locations. Azure Arc enables customers to centrally manage, secure, and
https://azure.microsoft.com/blog/bringing-confidential-computing-to-kubernetes/Historically, data has been protected at rest through encryption in data stores, and in transit using network technologies, however as soon as that data is processed in the CPU of a computer it is decrypted and in plain text. New READ MORE
The next wave of analytics is here with Azure Synapse Analytics! Simply unmatched and truly limitless, we’re excited about this launch and want to share the highlights with you. Please join us for the Analytics in Azure virtual event on Tuesday, December 10, 2019 from 10:00 AM – 11:00 AM Pacific Time. Be among the first to see how Azure Synapse can accelerate your organization’s time to insight. Sign up for the live stream today for reminders, agenda updates, and instructions to tune in live.
Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources at scale. Build end-to-end analytics solutions with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs, with blazing speed.
Join us for this virtual event and find out how to:
Query petabyte-scale data on demand from the data lake, or provision elastic compute resources for demanding workloads like data warehousing. Build a modern data warehouse enhanced with streaming analytics, machine learning, BI, and AI capabilities. Reduce project development time for machine learning,
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights. Out-of-the-box integration with numerous other Azure services enables developers and data engineers to build high-performance, hot-path data pipelines within minutes. The key tenets of Stream Analytics include Ease of use, Developer productivity, and Enterprise readiness. Today, we’re announcing several new features that further enhance these key tenets. Let’s take a closer look at these features:
Rollout of these preview features begins November 4th, 2019. Worldwide availability to follow in the weeks after.
In the past, changing Streaming Units (SUs) allocated for a Stream Analytics job required users to stop and restart. This resulted in extra overhead and latency, even though it was done without any data loss.
With online scaling capability, users will no longer be required to stop their job if they need to change the SU allocation. Users can increase or decrease the SU capacity of a running job without having to stop it. This builds on the customer promise of long-running mission-critical pipelines that Stream Analytics offers today.
Change SUs on a Stream Analytics job while it is running.