In this blog post, I am going to show how to use the Azure ML web service in Power BI (Power Query). First Step: You need to create a model in Azure ML Studio and create a web service for it. The traditional example in Predict a passenger on Titanic ship is going to survived Read more about Power BI and Azure ML make them work with Power Query[…]
I’ve been honored and had the opportunity to have an interview with some great minds in Ignite 2018. Just to mention a few; it was the discussion about all new Power BI and AI features announced at Microsoft Ignite 2018 conference. In this post, you will see the link to all my 14 interviews of Read more about Ignite 2018 Interviews by Reza Rad; Power BI and AI[…]
Azure HDInsight is an open-source analytics and cloud base service. Azure HDInsight is easy, fast, and cost-effective for processing the massive amounts of data. There are many different use case scenarios for HDInsight such as extract, transform, and load (ETL), data warehousing, machine learning, IoT and so forth. The main benefit of using HDInsight Read more about Analytics in HDInsight[…]
Data Science Virtual Machine (DSVM) is a virtual machine on the Azure cloud that is customized for doing data science. DSVM has some pre-configured and pre-install tools that help users to build the AI applications. DSVM will assist data science team to access a consistent setup. In this post, a brief introduction to DSVM Read more about Data Science Virtual Machine[…]
Microsoft Cognitive services are collections of API and services that help developers to create more smart applications and reports. By using Cognitive services, developers able to add intelligence features such as face recognition, emotion recognition, text analytics and so forth into their applications. Cognitive Services Overview There are different cognitive services available that you can Read more about Cognitive Services in Power BI[…]
In the last post, I have shown how to create a simple Bot. In this post, I am going to show how to create a Question and Answer Bot and embed it in a website. To start you need to create a Web App Bot in Microsoft Azure with Bot Template as Question and Answer. After creating the Read more about Microsoft Bot -Part2: Create a Question and Answer[…]
Azure Stream Analytics is an event-processing engine that allows users to analyze high volumes of data streaming from devices, sensors, and applications. Azure Stream Analytics can be used for Internet of Things (IoT) real-time analytics, remote monitoring and data inventory controls. However, Azure Stream Analytics is another component in Azure, that we were able to Read more about Live Machine Learning in Azure Stream Analytics-part 1[…]
In the last post, I have explained how to work with Azure Databricks. In this post, I will show: 1- Upload data in Azure data Lake Store 2- get data from Azure Data Lake Store into Azure Data Bricks 3-clean Data with Scala language 4- visualizes with R language 5- Predictive Analysis with R In Read more about Azure data Bricks – Part2[…]
Databricks is an analytics service based on the Apache Spark open source project. Databricks has been used for ingesting a significant amount of data. In February 2018, there is integration between Azure and Databricks. This integration provides data science and data engineer team with a fast, easy and collaborative spark-based platform in Azure [1]. Azure Read more about Azure data Bricks – Part1[…]
Azure Data Lake store is one of the components in Microsoft cloud, that helps the developers, data scientists and analyst to store any data size, shape, and speed. Azure Data Lake is optimized for processing large amounts of data; it provides parallel processing with optimum performance. In Azure data lake we can create hierarchy data Read more about R In Azure Data Lake- Part1- Sample Data[…]