Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.
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NEW-PRODUCT NEWS: The addition is the latest hosting option available for enterprise Azure users as they refine their Azure cloud deployments.
Amazon.com Inc. and Microsoft Corp. are the last competitors standing in the Pentagon’s winner-take-all competition for a $10 billion cloud services contract, the Defense Department said. The announcement eliminates...
Anthos is an open platform that lets you run an app anywhere, without needing to modify the code, on existing on-premises hardware or in the public cloud.
In this tip we look at how to configure Azure Data Factory to move data from an on-premises SQL Server database to an Azure SQL Database.
In this article, Feodor demonstrates the architecture, workflow, and some of the challenges of a collaborative platform (cloud foundation) for speeding up enterprises in their search for analytical power. He uses an example from the EA Billing solution, which was presented in the previous articles of the series.