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Three critical analytics use cases with Microsoft Azure Databricks

Azure
Data science and machine learning can be applied to solve many common business scenarios, yet there are many barriers preventing organizations from adopting them. Collaboration between data scientists, data engineers, and business analysts and curating data, structured and unstructured, from ... continue reading
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Unlock your data’s potential with Azure SQL Data Warehouse and Azure Databricks

Azure
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. Azure Databricks and Azure SQL Data Warehouse ... continue reading

Accelerated Spark on GPU-enabled clusters in Azure

Azure
The ability to run Spark on a GPU enabled cluster demonstrates a unique convergence of big data and high-performance computing (HPC) technologies. In the past several years, we've seen the GPU market explode as companies all over the world integrate ... continue reading
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Azure Data Lake tools integrates with VSCode Data Lake Explorer and Azure Account

Azure
If you are a data scientist and want to explore the data and understand what is being saved and what the hierarchy of the folder is, please try Data Lake Explorer in VSCode ADL Tools. If you are a developer ... continue reading
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Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading