�ݺ�ߣshows by User: marafacs

�ݺ�ߣshows by User: marafacs / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: marafacs / Sat, 21 Apr 2018 15:02:24 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: marafacs The role of intelligent sensors in the cloud public /slideshow/the-role-of-intelligent-sensors-in-the-cloud-public/94595818 theroleofintelligentsensorsinthecloud-public-180421150224
The role of digitizing spaces using intelligent edge. The session covers importance of ai on edge and the 3Cs of the intelligence edge.]]>
The role of digitizing spaces using intelligent edge. The session covers importance of ai on edge and the 3Cs of the intelligence edge.]]> Sat, 21 Apr 2018 15:02:24 GMT /slideshow/the-role-of-intelligent-sensors-in-the-cloud-public/94595818 marafacs@slideshare.net(marafacs) The role of intelligent sensors in the cloud public marafacs The role of digitizing spaces using intelligent edge. The session covers importance of ai on edge and the 3Cs of the intelligence edge. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theroleofintelligentsensorsinthecloud-public-180421150224-thumbnail.jpg?width=120&height=120&fit=bounds" /> The role of digitizing spaces using intelligent edge. The session covers importance of ai on edge and the 3Cs of the intelligence edge.

The role of intelligent sensors in the cloud public from Mostafa

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0 Skill up in machine learning using Azure ML /slideshow/skill-up-in-machine-learning-using-azure-ml/75304741 skillupinmachinelearningusingazureml-public-170422133131
Build smart apps using machine learning techniques in the cloud]]>
Build smart apps using machine learning techniques in the cloud]]> Sat, 22 Apr 2017 13:31:31 GMT /slideshow/skill-up-in-machine-learning-using-azure-ml/75304741 marafacs@slideshare.net(marafacs) Skill up in machine learning using Azure ML marafacs Build smart apps using machine learning techniques in the cloud <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skillupinmachinelearningusingazureml-public-170422133131-thumbnail.jpg?width=120&height=120&fit=bounds" /> Build smart apps using machine learning techniques in the cloud

Skill up in machine learning using Azure ML from Mostafa

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0 Big data talking stories in Healthcare /slideshow/big-data-talking-stories-in-healthcare/75100188 bigdata-talkingstorieshealthcare-public-170417181625
Azure Data Platform Services HDInsight Clusters in Azure Data Storage: Apache Hive, Apache Hbase, Azure Data Catalog Data Transformations: Apache Storm, Apache Spark, Azure Data Factory Healthcare / Life Sciences Use Cases ]]>
Azure Data Platform Services HDInsight Clusters in Azure Data Storage: Apache Hive, Apache Hbase, Azure Data Catalog Data Transformations: Apache Storm, Apache Spark, Azure Data Factory Healthcare / Life Sciences Use Cases ]]> Mon, 17 Apr 2017 18:16:25 GMT /slideshow/big-data-talking-stories-in-healthcare/75100188 marafacs@slideshare.net(marafacs) Big data talking stories in Healthcare marafacs Azure Data Platform Services HDInsight Clusters in Azure Data Storage: Apache Hive, Apache Hbase, Azure Data Catalog Data Transformations: Apache Storm, Apache Spark, Azure Data Factory Healthcare / Life Sciences Use Cases <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-talkingstorieshealthcare-public-170417181625-thumbnail.jpg?width=120&height=120&fit=bounds" /> Azure Data Platform Services HDInsight Clusters in Azure Data Storage: Apache Hive, Apache Hbase, Azure Data Catalog Data Transformations: Apache Storm, Apache Spark, Azure Data Factory Healthcare / Life Sciences Use Cases

Big data talking stories in Healthcare from Mostafa

]]> 544 2 https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-talkingstorieshealthcare-public-170417181625-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Building predictive models in Azure Machine Learning /slideshow/building-predictive-models-in-azure-machine-learning/72553623 buildingpredictivemodelsinaml-public-170224201057
This presentation covers how to build and drive insights from data by building machine learning models. The session covers how to develop and train models in Python/R using Azure Machine Learning. The session covers how to explore key concepts in data acquisition, preparation, exploration, and visualization, and take a look at how to build a predictive solution using Azure Machine Learning, R, and Python. The session covers tips and tricks on selecting the right algorithm for your data science problem and how to utilize Machine Learning to solve it.]]>
This presentation covers how to build and drive insights from data by building machine learning models. The session covers how to develop and train models in Python/R using Azure Machine Learning. The session covers how to explore key concepts in data acquisition, preparation, exploration, and visualization, and take a look at how to build a predictive solution using Azure Machine Learning, R, and Python. The session covers tips and tricks on selecting the right algorithm for your data science problem and how to utilize Machine Learning to solve it.]]> Fri, 24 Feb 2017 20:10:57 GMT /slideshow/building-predictive-models-in-azure-machine-learning/72553623 marafacs@slideshare.net(marafacs) Building predictive models in Azure Machine Learning marafacs This presentation covers how to build and drive insights from data by building machine learning models. The session covers how to develop and train models in Python/R using Azure Machine Learning. The session covers how to explore key concepts in data acquisition, preparation, exploration, and visualization, and take a look at how to build a predictive solution using Azure Machine Learning, R, and Python. The session covers tips and tricks on selecting the right algorithm for your data science problem and how to utilize Machine Learning to solve it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildingpredictivemodelsinaml-public-170224201057-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation covers how to build and drive insights from data by building machine learning models. The session covers how to develop and train models in Python/R using Azure Machine Learning. The session covers how to explore key concepts in data acquisition, preparation, exploration, and visualization, and take a look at how to build a predictive solution using Azure Machine Learning, R, and Python. The session covers tips and tricks on selecting the right algorithm for your data science problem and how to utilize Machine Learning to solve it.

Building predictive models in Azure Machine Learning from Mostafa

]]> 1008 4 https://cdn.slidesharecdn.com/ss_thumbnails/buildingpredictivemodelsinaml-public-170224201057-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Architecting big data solutions in the cloud /marafacs/architecting-big-data-solutions-in-the-cloud architectingbigdatasolutionsinthecloud-public-170223200700
The session covers how to architect big data solutions in Azure. Azure provides different Hadoop clusters types. The session covers the basic understanding of Lambda Architecture and how to build end to end big data solution using Apache Hadoop HDFS, HBase, Hive, Storm and Spark. The session covers how to integrate by building apps using any programming language such as Java, Python, or Scala with HDInsight clusters using various Hadoop integration frameworks and libraries. The session is a jump start for Architects, engineers and DBAs with RDBMS experience who are looking for starting building big data solutions based on Hadoop. The session is a demo driven and will cover the basics of Hadoop open source products.]]>
The session covers how to architect big data solutions in Azure. Azure provides different Hadoop clusters types. The session covers the basic understanding of Lambda Architecture and how to build end to end big data solution using Apache Hadoop HDFS, HBase, Hive, Storm and Spark. The session covers how to integrate by building apps using any programming language such as Java, Python, or Scala with HDInsight clusters using various Hadoop integration frameworks and libraries. The session is a jump start for Architects, engineers and DBAs with RDBMS experience who are looking for starting building big data solutions based on Hadoop. The session is a demo driven and will cover the basics of Hadoop open source products.]]> Thu, 23 Feb 2017 20:07:00 GMT /marafacs/architecting-big-data-solutions-in-the-cloud marafacs@slideshare.net(marafacs) Architecting big data solutions in the cloud marafacs The session covers how to architect big data solutions in Azure. Azure provides different Hadoop clusters types. The session covers the basic understanding of Lambda Architecture and how to build end to end big data solution using Apache Hadoop HDFS, HBase, Hive, Storm and Spark. The session covers how to integrate by building apps using any programming language such as Java, Python, or Scala with HDInsight clusters using various Hadoop integration frameworks and libraries. The session is a jump start for Architects, engineers and DBAs with RDBMS experience who are looking for starting building big data solutions based on Hadoop. The session is a demo driven and will cover the basics of Hadoop open source products. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/architectingbigdatasolutionsinthecloud-public-170223200700-thumbnail.jpg?width=120&height=120&fit=bounds" /> The session covers how to architect big data solutions in Azure. Azure provides different Hadoop clusters types. The session covers the basic understanding of Lambda Architecture and how to build end to end big data solution using Apache Hadoop HDFS, HBase, Hive, Storm and Spark. The session covers how to integrate by building apps using any programming language such as Java, Python, or Scala with HDInsight clusters using various Hadoop integration frameworks and libraries. The session is a jump start for Architects, engineers and DBAs with RDBMS experience who are looking for starting building big data solutions based on Hadoop. The session is a demo driven and will cover the basics of Hadoop open source products.

Architecting big data solutions in the cloud from Mostafa

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0 Programming in Spark using PySpark /slideshow/programming-in-spark-using-pyspark/72252123 programminginsparkusingpyspark-public-170217010224
This session covers how to work with PySpark interface to develop Spark applications. From loading, ingesting, and applying transformation on the data. The session covers how to work with different data sources of data, apply transformation, python best practices in developing Spark Apps. The demo covers integrating Apache Spark apps, In memory processing capabilities, working with notebooks, and integrating analytics tools into Spark Applications. ]]>
This session covers how to work with PySpark interface to develop Spark applications. From loading, ingesting, and applying transformation on the data. The session covers how to work with different data sources of data, apply transformation, python best practices in developing Spark Apps. The demo covers integrating Apache Spark apps, In memory processing capabilities, working with notebooks, and integrating analytics tools into Spark Applications. ]]> Fri, 17 Feb 2017 01:02:24 GMT /slideshow/programming-in-spark-using-pyspark/72252123 marafacs@slideshare.net(marafacs) Programming in Spark using PySpark marafacs This session covers how to work with PySpark interface to develop Spark applications. From loading, ingesting, and applying transformation on the data. The session covers how to work with different data sources of data, apply transformation, python best practices in developing Spark Apps. The demo covers integrating Apache Spark apps, In memory processing capabilities, working with notebooks, and integrating analytics tools into Spark Applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/programminginsparkusingpyspark-public-170217010224-thumbnail.jpg?width=120&height=120&fit=bounds" /> This session covers how to work with PySpark interface to develop Spark applications. From loading, ingesting, and applying transformation on the data. The session covers how to work with different data sources of data, apply transformation, python best practices in developing Spark Apps. The demo covers integrating Apache Spark apps, In memory processing capabilities, working with notebooks, and integrating analytics tools into Spark Applications.

Programming in Spark using PySpark from Mostafa

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0 Machine Learning Classifiers /slideshow/machine-learning-classifiers-public/71733007 mlclassifiers-public-170203170608
Use Machine learning to solve classification problems through building binary and multi-class classifiers. Does your company face business-critical decisions that rely on dynamic transactional data? If you answered “yes,” you need to attend this free event featuring Microsoft analytics tools. We’ll focus on Azure Machine Learning capabilities and explore the following topics: - Introduction of two class classification problems. - Classification Algorithms (Two Class Classification) - Available algorithms in Azure ML. - Real business problems that is solved using two class classification.]]>
Use Machine learning to solve classification problems through building binary and multi-class classifiers. Does your company face business-critical decisions that rely on dynamic transactional data? If you answered “yes,” you need to attend this free event featuring Microsoft analytics tools. We’ll focus on Azure Machine Learning capabilities and explore the following topics: - Introduction of two class classification problems. - Classification Algorithms (Two Class Classification) - Available algorithms in Azure ML. - Real business problems that is solved using two class classification.]]> Fri, 03 Feb 2017 17:06:08 GMT /slideshow/machine-learning-classifiers-public/71733007 marafacs@slideshare.net(marafacs) Machine Learning Classifiers marafacs Use Machine learning to solve classification problems through building binary and multi-class classifiers. Does your company face business-critical decisions that rely on dynamic transactional data? If you answered “yes,” you need to attend this free event featuring Microsoft analytics tools. We’ll focus on Azure Machine Learning capabilities and explore the following topics: - Introduction of two class classification problems. - Classification Algorithms (Two Class Classification) - Available algorithms in Azure ML. - Real business problems that is solved using two class classification. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlclassifiers-public-170203170608-thumbnail.jpg?width=120&height=120&fit=bounds" /> Use Machine learning to solve classification problems through building binary and multi-class classifiers. Does your company face business-critical decisions that rely on dynamic transactional data? If you answered “yes,” you need to attend this free event featuring Microsoft analytics tools. We’ll focus on Azure Machine Learning capabilities and explore the following topics: - Introduction of two class classification problems. - Classification Algorithms (Two Class Classification) - Available algorithms in Azure ML. - Real business problems that is solved using two class classification.

Machine Learning Classifiers from Mostafa

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0 Azure Machine Learning /slideshow/azure-machine-learning-71568316/71568316 intro-machine-learning-public-170131025057
A presentation covers how data science is connected to build effective machine learning solutions. How to build end to end solutions in Azure ML. How to build, model, and evaluate algorithms in Azure ML.]]>
A presentation covers how data science is connected to build effective machine learning solutions. How to build end to end solutions in Azure ML. How to build, model, and evaluate algorithms in Azure ML.]]> Tue, 31 Jan 2017 02:50:57 GMT /slideshow/azure-machine-learning-71568316/71568316 marafacs@slideshare.net(marafacs) Azure Machine Learning marafacs A presentation covers how data science is connected to build effective machine learning solutions. How to build end to end solutions in Azure ML. How to build, model, and evaluate algorithms in Azure ML. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intro-machine-learning-public-170131025057-thumbnail.jpg?width=120&height=120&fit=bounds" /> A presentation covers how data science is connected to build effective machine learning solutions. How to build end to end solutions in Azure ML. How to build, model, and evaluate algorithms in Azure ML.

Azure Machine Learning from Mostafa

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0 Introducing Power BI Embedded /slideshow/introducing-power-bi-embedded/67194806 introducingpowerbiembedded-public-161014194911
The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. ]]>
The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. ]]> Fri, 14 Oct 2016 19:49:10 GMT /slideshow/introducing-power-bi-embedded/67194806 marafacs@slideshare.net(marafacs) Introducing Power BI Embedded marafacs The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introducingpowerbiembedded-public-161014194911-thumbnail.jpg?width=120&height=120&fit=bounds" /> The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more.

Introducing Power BI Embedded from Mostafa

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0 Extending Product Outreach with Outlook Connectors /slideshow/extending-product-outreach-with-outlook-connectors/66180385 outlookconnectors-160919174650
Office 365 outlook group connectors, manage outlook groups, manage external users (guest) access, samples and sdk.]]>
Office 365 outlook group connectors, manage outlook groups, manage external users (guest) access, samples and sdk.]]> Mon, 19 Sep 2016 17:46:50 GMT /slideshow/extending-product-outreach-with-outlook-connectors/66180385 marafacs@slideshare.net(marafacs) Extending Product Outreach with Outlook Connectors marafacs Office 365 outlook group connectors, manage outlook groups, manage external users (guest) access, samples and sdk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/outlookconnectors-160919174650-thumbnail.jpg?width=120&height=120&fit=bounds" /> Office 365 outlook group connectors, manage outlook groups, manage external users (guest) access, samples and sdk.

Extending Product Outreach with Outlook Connectors from Mostafa

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0 Build intelligent solutions using Azure /slideshow/build-intelligent-solutions-using-azure/65837573 buildintelligentsolutionsusingmsazure-public-160908201318
The presentation covers in detail how to build intelligent microservices solutions using Azure App Service features in Azure. The presentation is a demo driven and demonstrate how to design and provision complete end-to-end solutions using cloud services & Azure App Services capabilities.]]>
The presentation covers in detail how to build intelligent microservices solutions using Azure App Service features in Azure. The presentation is a demo driven and demonstrate how to design and provision complete end-to-end solutions using cloud services & Azure App Services capabilities.]]> Thu, 08 Sep 2016 20:13:17 GMT /slideshow/build-intelligent-solutions-using-azure/65837573 marafacs@slideshare.net(marafacs) Build intelligent solutions using Azure marafacs The presentation covers in detail how to build intelligent microservices solutions using Azure App Service features in Azure. The presentation is a demo driven and demonstrate how to design and provision complete end-to-end solutions using cloud services & Azure App Services capabilities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildintelligentsolutionsusingmsazure-public-160908201318-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation covers in detail how to build intelligent microservices solutions using Azure App Service features in Azure. The presentation is a demo driven and demonstrate how to design and provision complete end-to-end solutions using cloud services & Azure App Services capabilities.

Build intelligent solutions using Azure from Mostafa

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0 Big data solutions in Azure /slideshow/big-data-solutions-in-azure-65550600/65550600 bigdatasolutionsinazure-160831131710
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]>
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]> Wed, 31 Aug 2016 13:17:10 GMT /slideshow/big-data-solutions-in-azure-65550600/65550600 marafacs@slideshare.net(marafacs) Big data solutions in Azure marafacs The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatasolutionsinazure-160831131710-thumbnail.jpg?width=120&height=120&fit=bounds" /> The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.

Big data solutions in Azure from Mostafa

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0 Building Big data solutions in Azure /slideshow/building-big-data-solutions-in-azure/64675413 bigdatasolutionsinazure-public-160803221038
The presentation covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]>
The presentation covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]> Wed, 03 Aug 2016 22:10:38 GMT /slideshow/building-big-data-solutions-in-azure/64675413 marafacs@slideshare.net(marafacs) Building Big data solutions in Azure marafacs The presentation covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatasolutionsinazure-public-160803221038-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.

Building Big data solutions in Azure from Mostafa

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0 Patterns and Practices in Building Office Add-ins /slideshow/patterns-and-practices-in-building-office-addins/63145711 pnpinbuildingofficeadd-ins-160616163756
Office Add-ins best practices, VS tools, Yeoman tool for scaffolding office addins. VS code.]]>
Office Add-ins best practices, VS tools, Yeoman tool for scaffolding office addins. VS code.]]> Thu, 16 Jun 2016 16:37:56 GMT /slideshow/patterns-and-practices-in-building-office-addins/63145711 marafacs@slideshare.net(marafacs) Patterns and Practices in Building Office Add-ins marafacs Office Add-ins best practices, VS tools, Yeoman tool for scaffolding office addins. VS code. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pnpinbuildingofficeadd-ins-160616163756-thumbnail.jpg?width=120&height=120&fit=bounds" /> Office Add-ins best practices, VS tools, Yeoman tool for scaffolding office addins. VS code.

Patterns and Practices in Building Office Add-ins from Mostafa

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0 Data science essentials in azure ml /slideshow/data-science-essentials-in-azure-ml/61988326 datascienceessentialsinazureml-160513141229
In this session i am covering data science principals such as: Regression, Clustering, Classification, Recommendation and how to build programmable components in Azure Machine Learning experiments using data science programming languages. The session shows and illustrate how to implement these concepts using Azure ML studio. ]]>
In this session i am covering data science principals such as: Regression, Clustering, Classification, Recommendation and how to build programmable components in Azure Machine Learning experiments using data science programming languages. The session shows and illustrate how to implement these concepts using Azure ML studio. ]]> Fri, 13 May 2016 14:12:29 GMT /slideshow/data-science-essentials-in-azure-ml/61988326 marafacs@slideshare.net(marafacs) Data science essentials in azure ml marafacs In this session i am covering data science principals such as: Regression, Clustering, Classification, Recommendation and how to build programmable components in Azure Machine Learning experiments using data science programming languages. The session shows and illustrate how to implement these concepts using Azure ML studio. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datascienceessentialsinazureml-160513141229-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this session i am covering data science principals such as: Regression, Clustering, Classification, Recommendation and how to build programmable components in Azure Machine Learning experiments using data science programming languages. The session shows and illustrate how to implement these concepts using Azure ML studio.

Data science essentials in azure ml from Mostafa

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0 Build Interactive Analytics using Power BI /slideshow/build-interactive-analytics-using-power-bi/61752496 buildinteractiveanalyticsusingpowerbi-160506164716
The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. ]]>
The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. ]]> Fri, 06 May 2016 16:47:16 GMT /slideshow/build-interactive-analytics-using-power-bi/61752496 marafacs@slideshare.net(marafacs) Build Interactive Analytics using Power BI marafacs The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildinteractiveanalyticsusingpowerbi-160506164716-thumbnail.jpg?width=120&height=120&fit=bounds" /> The talk will cover how to build interactive analytics, dashboards and reports in PowerBI. Using multiple data sources, synchronization schedule and sharing capabilities in PowerBI. The PowerBI web and client tool provides sophisticated tools for non-technical users to build interactive dashboards. The session will be demo driven and will cover different use cases that use multiple data formats and sources. -- PowerBI client tool & web capabilities -- Interactive Dashboards and Reporting. -- Platform capabilities such as sharing, scheduling and more.

Build Interactive Analytics using Power BI from Mostafa

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0 TypeScript Jump Start /slideshow/typescript-jump-start/59630635 tsjumpstart-160316123944
This presentation covers the basics of TypeScript and will show you how to enable TypeScript features in existing projects. We'll take a guided tour of TypeScript, showing how the language and toolset makes it easier to write cross-platform, large-scale JavaScript applications. ]]>
This presentation covers the basics of TypeScript and will show you how to enable TypeScript features in existing projects. We'll take a guided tour of TypeScript, showing how the language and toolset makes it easier to write cross-platform, large-scale JavaScript applications. ]]> Wed, 16 Mar 2016 12:39:44 GMT /slideshow/typescript-jump-start/59630635 marafacs@slideshare.net(marafacs) TypeScript Jump Start marafacs This presentation covers the basics of TypeScript and will show you how to enable TypeScript features in existing projects. We'll take a guided tour of TypeScript, showing how the language and toolset makes it easier to write cross-platform, large-scale JavaScript applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tsjumpstart-160316123944-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation covers the basics of TypeScript and will show you how to enable TypeScript features in existing projects. We'll take a guided tour of TypeScript, showing how the language and toolset makes it easier to write cross-platform, large-scale JavaScript applications.

TypeScript Jump Start from Mostafa

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0 Big data solutions in azure /slideshow/big-data-solutions-in-azure/58518604 bigdatasolutionsinazure-160221115833
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]>
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. ]]> Sun, 21 Feb 2016 11:58:33 GMT /slideshow/big-data-solutions-in-azure/58518604 marafacs@slideshare.net(marafacs) Big data solutions in azure marafacs The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatasolutionsinazure-160221115833-thumbnail.jpg?width=120&height=120&fit=bounds" /> The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.

Big data solutions in azure from Mostafa

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0 Build intelligent solutions using ms azure /slideshow/build-intelligent-solutions-using-ms-azure/58373362 build-intelligent-solutions-using-ms-azure-160217131432
The session covers how to build web, mobile, Api solutions using Microsoft Azure platform. The session covers in detail how to build intelligent solutions using Azure App Service. Azure App Service includes web apps, logic apps and mobile apps services as PaaS solutions for engineers. The session is a demo driven and demonstrate how to design and provision complete end-to-end solutions using Microsoft intelligent cloud. ]]>
The session covers how to build web, mobile, Api solutions using Microsoft Azure platform. The session covers in detail how to build intelligent solutions using Azure App Service. Azure App Service includes web apps, logic apps and mobile apps services as PaaS solutions for engineers. The session is a demo driven and demonstrate how to design and provision complete end-to-end solutions using Microsoft intelligent cloud. ]]> Wed, 17 Feb 2016 13:14:32 GMT /slideshow/build-intelligent-solutions-using-ms-azure/58373362 marafacs@slideshare.net(marafacs) Build intelligent solutions using ms azure marafacs The session covers how to build web, mobile, Api solutions using Microsoft Azure platform. The session covers in detail how to build intelligent solutions using Azure App Service. Azure App Service includes web apps, logic apps and mobile apps services as PaaS solutions for engineers. The session is a demo driven and demonstrate how to design and provision complete end-to-end solutions using Microsoft intelligent cloud. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/build-intelligent-solutions-using-ms-azure-160217131432-thumbnail.jpg?width=120&height=120&fit=bounds" /> The session covers how to build web, mobile, Api solutions using Microsoft Azure platform. The session covers in detail how to build intelligent solutions using Azure App Service. Azure App Service includes web apps, logic apps and mobile apps services as PaaS solutions for engineers. The session is a demo driven and demonstrate how to design and provision complete end-to-end solutions using Microsoft intelligent cloud.

Build intelligent solutions using ms azure from Mostafa

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0 Mistakes that kill startups /slideshow/mistakes-that-kill-startups/57938414 mistakesthatkillstartups-public-160205211506
Mistakes that kill startups. startup structure, raising capital, idea, market and communications.]]>
Mistakes that kill startups. startup structure, raising capital, idea, market and communications.]]> Fri, 05 Feb 2016 21:15:06 GMT /slideshow/mistakes-that-kill-startups/57938414 marafacs@slideshare.net(marafacs) Mistakes that kill startups marafacs Mistakes that kill startups. startup structure, raising capital, idea, market and communications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mistakesthatkillstartups-public-160205211506-thumbnail.jpg?width=120&height=120&fit=bounds" /> Mistakes that kill startups. startup structure, raising capital, idea, market and communications.

Mistakes that kill startups from Mostafa

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0 https://cdn.slidesharecdn.com/profile-photo-marafacs-48x48.jpg?cb=1707196775 https://cdn.slidesharecdn.com/ss_thumbnails/theroleofintelligentsensorsinthecloud-public-180421150224-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-role-of-intelligent-sensors-in-the-cloud-public/94595818 The role of intelligen... https://cdn.slidesharecdn.com/ss_thumbnails/skillupinmachinelearningusingazureml-public-170422133131-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/skill-up-in-machine-learning-using-azure-ml/75304741 Skill up in machine le... https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-talkingstorieshealthcare-public-170417181625-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/big-data-talking-stories-in-healthcare/75100188 Big data talking stori...