Microsoft Data Amp 2017

0 episodes

Apr 19, 2017
Microsoft Data Amp is a unique virtual event for data innovators. This online event features keynotes by Microsoft executives Scott Guthrie and Joseph Sirosh, who will demonstrate how data and intelligence can help you build breakthrough applications. Learn how advancements in data, intelligence, and analytics are driving digital transformation. You'll gain insights into the industry, and have a front row seat as we make important announcements and show off the latest technologies. Microsoft Data Amp – where data gets to work. Watch live on April 19, 2017 at 8am PT.
Microsoft Data Amp is a unique virtual event for data innovators. This online event features keynotes by Microsoft executives Scott Guthrie and Joseph Sirosh, who will demonstrate how data and intelligence can help you build breakthrough applications. Learn how advancements in data, intelligence, and analytics are driving digital transformation. You'll gain insights into the industry, and have a front...

44 Speakers:

Adaptive Query Processing Advanced Analytics Advanced Analytics Cortana Gallery Templates Advanced Analytics Advanced Analytics Healthcare Industry Verticals Always ON Availability Groups analytics Artificial Intelligence Azure Analysis Services Azure Analysis Services Web Embedded Apps devices business insights business models Azure Bot Services Azure Data Lake Azure Data Lake ADL BigData Data Lake Store Azure Data Lake Analytics Azure Data Lake Analytics USQL ADL Cognitive Capablities Intelligent Applications Azure Data Lake Store Azure Data Services Xamarin Azure SQL Database DocumentDB Azure Search Azure Machine Learning PowerBI Embedded SaaS Apps Cloud Born Azure based Azure DocumentDB Azure HDInsight Azure ML Azure ML Cortana Gallery Advanced Analytics Azure PaaS Azure Search Azure SQL Database big data Bot AI Analytics Development Azure Bot Services Bot Framework Bot Framework Bots Advanced Analutics Cortana Intelligence Cognitive Services API CRM Business Analytics Cluster SQL Server Linux Always ON HADR Disaster Recovery Cognitive Service Cognitive Services API Cognitive Services API Column Store Index Cortana Analytics Cortana Intelligence Cortana Intelligence Transformative Business Scenarios Advanced Analytics Industry verticals Cortana Solution Gallery data Data Warehouse database Database as a Service Databases Deep Learning Algorithms DevOps Docker Docker Containers DocumentDB DWH Bigdata SQL Data WareHouse DWH DataWare House Enterprise Azure DataWareHouse Dynamic Data Masking EF Migrations Elastic DB Pools Elastic DB Tools Entity Framework Hadoop Spark Linux Microsoft R SQL Server R Services MicrosoffML package in SQL Server 2016 HADR HDInsight Big Data Spar Hive Datawarehousing IoT Machine Learning Hive In-Database Analytics Industry Vertical- Healthcare Industry Vertical- Manufacturing industry verticals demand forecasting intelligent solutions Microsoft and partners personalization demand forecasting In-Memory In-Memory Improvements IoT quality assurance Advanced analytics manufacturing transformation KPMG Linux Microsoft Microsoft ML Package Microsoft R Microsoft R Server Microsoft R Server 9.1 Microsoft R Server SQL Server R microsoft+r+server+sql+server+r+ML+Libraries mongo API documentDB low latency mobile applications Xamarin globally distributed limitless scale MongoDB API Non-Microsoft Data Pltform Open Source Analytics Engine Operational Analytics PhP .Net Node planet scale perofrmance low latency high availability geographically distributed PowerBI Embedded Predictive Analytics Python R SQL Server Predictions Intelligent Applications Operationalize Read Scale Relational Database as a Service SaaS Applications Security Spark SQL Data Platform Infra Modern Data Platform non-Microsoft data platform SQL Data Warehouse SQL Database Azure Cloud Born Applications Relational Database as a Managed Service SQL Graph SQL Server 2016 R Services SQL Server 2016 SP1 SQL Server 2017 SQL Server 2017 Adaptive Query Processing batch mode memory grant batch mode execution adaptive joins batch mode memory grant table valued function performance SQL Server 2017 application development linux install connectors .net php key management tools docker SQL Server 2017 BI SQL Server 2017 BI Power Query Connectivity Analysis services in SQL Server SQL Server 2017 Graph Data join-free schema predictive analytics SQL Server 2017 Linux DevOps Entity Framework InMemory ColumnStore Security Azure SQL Database SQL Server 2017 on Linux SQL Server 2017 Python R Scalability In-Database Analytics SQL Server 2017 Replication SQL Server 2017 Replication Read Scale Out SQL Server 2017 Security Linux SQL Server Azure VM Cloud Hybrid Modern SQL Server Azure VM Database Performance Migration Modernization SQL Server Azure VMs IaaS Hybrid Modern Infra SQL Server in Azure VMs SQL Server Migration Assistant SQL Server on Azure VMs SQL Server on Linux SQL Server R Services SQL Server Replication SQL Server SP1 SQL Data Performance Applications Any Platform Any Language SQL vNext sql+server sql+server+2017+bi+power+query+connectivity+analysis+services+in+sql+server+docker+Linux SQLDB In-Memory SQL HTAP performance analytics hybrid transactional analytical lower TCO SQLDB SaaS Apps Elastic DBs Elastic Pools Scale out Intelligent Databse in the cloud sql-server-2017-docker-windows-containers-query-processing-inmemory-improvements-advanced-features TPC-H Data Warehouse SQL Server SQL Data Warehouse U-SQL Xamarin

Analytics Anna Roth Azure Christian Rast (KPMG) Christian Wade Colin Mason Data David Salgado Esther Christoffersen Gleb Krivosheev Jamie Reading Joe Sack Jos de Bruijn Joseph Sirosh Josh Caplan Kirill Gavrylyuk Kuber Sharma Lindsey Allen Luis Vargas Mihaela Blendea Morgan Oslake Murat Ozturan Nagesh Pabbisetty Nellie Gustafsson Oliver Chiu Paul Stubbs Pranav Rastogi Regi John Sachin Chouksey Saveen Reddy Scott Guthrie Seayoung Rhee Shreya Verma Sumit Kumar Syam Kumar Nair Tara Shankar Jana Ted Way Tobias Ternstrom Todd Bergeson Tommy Mullaney Tony Petrossian Travis Wright Vijay Jayaseelan wynn johnson

Microsoft Data Amp 2017

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