Building Advanced Analytical Solutions Faster Using Dataiku DSS On HDInsight

Source: HTTPS://BLOGS.MSDN.MICROSOFT.COM/AZUREDATALAKE/2017/02/16/BUILDING-ADVANCED-ANALYTICAL-SOLUTIONS-FASTER-USING-DATAIKU-DSS-ON-HDINSIGHT/   The AZURE HDINSIGHT APPLICATION PLATFORM allows users to use applications that span a variety of use cases like data ingestion, data preparation, data processing, building analytical solutions and data visualization. In this post we will see how

Load Data From Azure Data Lake Into Azure SQL Data Warehouse At 3TB/Hour

Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/09/load-data-from-azure-data-lake-into-azure-sql-data-warehouse-at-3tbhour/   Re-posted from the Azure blog. AZURE SQL DATA WAREHOUSE (Azure SQL DW, or just SQL DW for short) is a SQL-based fully managed, petabyte-scale data warehousing solution in the cloud. It is highly elastic, enabling you to

Add Intelligence To Any SQL App, With The Power Of Deep Learning

Source: https://blogs.technet.microsoft.com/machinelearning/2017/01/06/add-intelligence-to-any-sql-app-with-the-power-of-deep-learning/   Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep

Deep Learning – Microsoft Cognitive Toolkit (CNTK) Deep Dive and Hands-on Tutorial – Nov 2016

The Microsoft Cognitive Toolkit—previously known as CNTK—empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms data scientists already use.

Eight scenarios with Apache Spark on Azure that will transform any business

Source: https://blogs.technet.microsoft.com/dataplatforminsider/2016/08/29/eight-scenarios-with-apache-spark-on-azure-that-will-transform-any-business/ This post was authored by Rimma Nehme, Technical Assistant, Data Group. Since its birth in 2009, and the time it was open sourced in 2010, Apache Spark has grown to become one of the largest open source communities