Azure Cosmos DB

Sumit Sengupta, Cloud Solution Architect, US One Commercial Partner On May 10, 2017, Microsoft announced the general availability of Azure Cosmos DB—Microsoft’s globally distributed, massively scalable, multi-model database service running on all Azure regions. Prior to that, the service was called DocumentDB. Databases that existed under DocumentDB are now accessible under the “SQL” API of Cosmos…


Lift and shift your data to the cloud!

Amber Sitko, Partner Technology Strategist, US One Commercial Partner Please join us on Friday, March 2 on our Data & AI Partner Community call, where we will be discussing the new services and tools to help drive your data modernization practice. Tried moving your customers to the cloud only to come up against multiple objections?…


Spark Your Data Modernization Practice!

Matt Morris, Partner Technology Strategist Join the January 5 Data & AI Partner Community call to learn about new services and tools to help you spark your data modernization practice. Preview the opportunity below and register for the call today. Three key trends are coming together to create a new age of innovation and transformation:…


Why Azure Data Factory Version 2?

Kajal Mukherjee, Cloud Solution Architect Azure Data Factory (ADF) is a Microsoft Azure PaaS solution for data transformation and load. ADF supports data movement between many on premises and cloud data sources. The supported platform list is elaborate, and includes both Microsoft and other vendor platforms. ADF is a very powerful tool providing complete flexibility for…


Data & Analytics Partners: Microsoft Inspire session recommendations for Data Platform and Analytics partners

Microsoft Inspire, formerly known as Microsoft Worldwide Partner Conference or WPC, is the largest partner event which will be held this year in Washington, DC at the Walter E. Washington Convention Center on July 9–13, 2017. This conference is a great opportunity for partners to connect with other partners, Microsoft employees, and industry experts. Microsoft…


Data & Analytics Partners: Cortana Intelligence Suite solution templates

The topic for our October 2016 partner call and blog was Microsoft Power BI solution templates. These templates are a quick, easy way to deliver powerful analytics and visualizations on top of popular applications. New templates were announced at Microsoft Data Amp, and these templates help build visualizations and an entire end-to-end analytics solution. These templates, called the Cortana Intelligence…

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Data & Analytics Partners: Navigating the Azure data services jungle

By Norm Nicholl, Cloud Solution Architect and Ryan Coffman, Cloud Solution Architect As Microsoft Azure matures and grows, its data capabilities become more robust and flexible, offering you more options when building your solution. There are many considerations for architects and implementers to evaluate, including balancing data platform flexibility, functionality, performance, cost and availability. Unlike with on-premises…


Data & Analytics Partners: Giving Extract, Transform, and Load a new paradigm

By Kajal Mukherjee, Cloud Solutions Architect and Rishi Arora, Cloud Solutions Architect Integration of data from varied sources is a requirement for enterprise analytics. The focus of business users is far more than internal data sources. Structured and unstructured data from various internal and external sources are requirements for decision making. Extract, transform, and load (ETL) tools…


Data & Analytics Partners: Azure Data Factory

If you work in the analytics space, it’s a fact that the data you work with will grow. And grow, and grow. As the volume of data grows, the complexity of manipulating those data and obtaining real insights also grows. Managing when, where, why, and how you move the data, and the tools you use to…


Data & Analytics Partners: Evolving to the modern data warehouse

Data have become the strategic asset used to transform businesses to uncover new insights. Traditionally, data from transactional systems such as ERP, CRM, and LOB applications are cleansed –  extracted, transformed, and loaded (ETL) – into the data warehouse. However, trends that include increasing data volumes from social apps, real-time data from connect devices (IoT), new sources…

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