Azure is now available in over 140 countries and offers customers more than 60 datacenter regions worldwide (and growing) from which to choose. These Azure regions provide customers with the benefits of data residency and latency optimization and may enable regional compliance.
We understand that with Azure’s over 200 services, advances in architecture, and data protection promises, there are a lot of options available to customers. To help you make the right decisions, we have summarized the answers to your questions on Azure regions, data residency, data access, and retention. Download the white paper, Enabling Data Residency and Data Protection in Azure Regions to learn more.
When customers move workloads to Azure, they face a number of choices, such as datacenter regions, high availability (HA) and disaster recovery (DR) architecture, and encryption models. To make the right decisions, customer need to consider both technical and regulatory requirements. To optimize latency, customers should determine the appropriate region based on the location of their users or customer base.
For regulatory compliance considerations, data residency considerations may support or even mandate the physical locations where data can be stored, and how and when it can be transferred internationally. These regulations can differ significantly
This post is part 2 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs, and the difference it’s making to them. In part 1, we explored the challenges that led the Microsoft Office Licensing Service team to move from Azure Table storage to Azure Cosmos DB, and how it migrated its production workload to the new service. In part 2, we examine the outcomes resulting from the team’s efforts.
Strong benefits with minimal effort
The Microsoft Office Licensing Service (OLS) team’s migration from Azure Table storage to Azure Cosmos DB was simple and straightforward, enabling the team to meet all its needs with minimal effort.
An easy migration
In moving to Azure Cosmos DB, thanks to its Table API, the OLS team was able to reuse most of its data access code, and the migration engine they wrote to avoid any downtime was fast and easy to build.
Danny Cheng, a software engineer at Microsoft, who leads the OLS development team explains:
“The migration engine was the only real ‘new code’ we had to write. And the code samples for all three parts are publicly available, so it’s not like we had to
This post is part 1 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs, and the difference it’s making to them. In part 1, we explore the challenges that led the Microsoft Office Licensing Service team to move from Azure Table storage to Azure Cosmos DB, and how it migrated its production workload to the new service. In part 2, we examine the outcomes resulting from the team’s efforts.
The challenge: Limited throughput and other capabilities
At Microsoft, the Office Licensing Service (OLS) supports activation of the Microsoft Office client on millions of devices around the world—including Windows, Mac, tablets, and mobile. It stores information such as machine ID, product ID, activation count, expiration date, and more. OLS is accessed by the Office client more than more than 240 million times per day by users around the world, with the first call coming from the client upon license activation and then every 2-3 days thereafter as the client checks to make sure the license is still valid.
Until recently, OLS relied on Azure Table storage for its backend data store, which contained about 5 TB of data spread across 18 tables—with separate tables
Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.
We are excited and humbled to announce that Microsoft has been named a leader in The Forrester Wave™: Streaming Analytics, Q3 2019. Microsoft believes this report truly reflects the market momentum of Azure Stream Analytics, satisfied customers, a growing partner ecosystem and the overall strength of our Azure cloud platform. You can access the full report here.
The Forrester Wave™: Streaming Analytics, Q3 2019
Forrester Wave™: Streaming Analytics, Q3 2019 report evaluated streaming analytics offerings from 11 different solution providers and we are honored to share that that Forrester has recognized Microsoft as a Leader in this category. Azure Stream Analytics received the highest possible score in 12 different categories including Ability to execute, Administration, Deployment, Solution Roadmap, Customer adoption and many more.
The report states, “Microsoft Azure Stream Analytics has strengths in scalability, high availability, deployment, and applications. Azure Stream Analytics is an easy on-ramp for developers who already know SQL. Zero-code integration with over 15 other Azure services makes it easy to try and therefore adopt, making the product the
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,
https://azure.microsoft.com/blog/azure-sql-data-warehouse-is-now-azure-synapse-analytics/On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query READ MORE
Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health. Data lakes can uncover important signals on customers, products, employees, and processes. Both are critical, yet operate independently of one another, which can lead to uninformed decisions. At the same time, businesses need to unlock insights from all their data to stay competitive and fuel innovation with purpose. Can a single cloud analytics service bridge this gap and enable the agility that businesses demand?
Azure Synapse Analytics
Today, we are announcing Azure Synapse Analytics, 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. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.
Simply put, Azure Synapse is the next evolution of Azure SQL Data Warehouse. We have taken the same industry-leading data warehouse to a whole new level of performance and capabilities. In fact, it’s the first and only analytics system to have
A data-driven culture is critical for businesses to thrive in today’s environment. In fact, a brand-new Harvard Business Review Analytic Services survey found that companies who embrace a data-driven culture experience a 4x improvement in revenue performance and better customer satisfaction.
Foundational to this culture is the ability to deliver timely insights to everyone in your organization across all your data. At our core, that is exactly what we aim to deliver with Azure Analytics and Power BI, and our work is paying off in value for our customers. According to a recent commissioned Forrester Consulting Total Economic Impact™ study, Azure Analytics and Power BI deliver incredible value to customers with a 271 percent ROI, while increasing satisfaction by 60 percent.
Our position in the leaders quadrant in Gartner’s 2019 Magic Quadrant for Analytics & Power BI, coupled with our undisputed performance in analytics provides you with the foundation you need to implement a data-driven culture.
But what are three key attributes needed to establish a data-driven culture?
First, it is vital to get the best performance from your analytics solution across all your data, at the best possible price.
Second, it is critical that your data is accurate and
Azure Databricks is a fast, easy, and collaborative Apache Spark based analytics platform that simplifies the process of building big data and artificial intelligence (AI) solutions. Azure Databricks provides data engineers and data scientists an interactive workplace where they can use the languages and frameworks of their choice. Natively integrated with services like Azure Machine Learning and Azure SQL Data Warehouse, Azure Databricks enables customers to build an end-to-end modern data warehouse, real-time analytics, and machine learning solutions.
Save up to 37 percent on your Azure Databricks workloads
Azure Databricks Unit pre-purchase plan is now generally available—expanding our commitment to make Azure the most cost-effective cloud for running your analytics workloads.
Today, with the Azure Databricks Unit pre-purchase plan, you can start unlocking the benefits of Azure Databricks at significantly reduced costs when you pre-pay for Databricks compute for a one or three-year term. With this new pricing option, you can achieve savings of up to 37 percent compared to pay-as-you-go pricing. You can learn more about the discount tiers on our pricing page. All Azure Databricks SKUs—Premium and Standard SKUs for Data Engineering Light, Data Engineering, and Data Analytics—are eligible for DBU pre-purchase.
Compared with other Azure services with
Today, we are announcing the most comprehensive and compelling migration offer available in the industry to help customers simplify their cloud analytics journey.
This collaboration between Microsoft and Informatica provides customers an accelerated path for their digital transformation. As customers modernize their analytics systems, it enables them to truly begin integrating emerging technologies, such as AI and machine learning, into their business. Without migrating analytics workloads to the cloud, it becomes difficult for customers to maximize the potential their data holds.
For customers that have been tuning analytics appliances for years, such as Teradata and Netezza, it can seem overwhelming to start the journey towards the cloud. Customers have invested valuable time, skills, and personnel to achieve optimal performance from their analytics systems, which contain the most sensitive and valuable data for their business. We understand that the idea of migrating these systems to the cloud can seem risky and daunting. This is why we are partnering with Informatica to help customers begin their cloud analytics journey today with an industry-leading offer.
With this offering, customers can now work with Azure and Informatica to easily understand their current data estate, determine what data is connected to their current