Azure

Ahmad Yaseen

Data Engineer Interview Questions and Answers: SQL Workload Migration to Microsoft Azure Database Platforms

August 13, 2020 by

In this article, we will discuss a number of questions that you may face when being interviewed to a Microsoft Azure Data Engineer position. These questions will focus on the process of migrating the SQL Server databases from the on-premises instances to the Microsoft Azure database services.

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Ahmad Yaseen
Backup to URL

Migrating SQL workloads to Microsoft Azure: Databases trip to Azure SQL Database Managed Instance

August 5, 2020 by

In the previous two trips of this articles series, databases trip to SQL Server on Azure VM and to Azure SQL Database, we discussed the benefits of migrating your on-premises SQL Server databases to the Microsoft Azure database platforms and the methods that can be followed to migrate the on-premises databases to the Azure database platforms.

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Ahmad Yaseen
Create SQL Virtual Machine

Migrating SQL workloads to Microsoft Azure: Databases Trip to SQL Server on Azure VM

July 31, 2020 by

In the previous articles of this series, we built the bridge that leads us to the best way of migrating our SQL workload to Microsoft Azure, by showing how to create the databases migration strategy that contains a deep study of the current environment and the available options in Azure to replace the on-premises setup, which we tried to make it easier by providing all Azure database services and the workload that fits each service, and finally, we introduced several Microsoft tools and services that can be used to assess the current setup, provide migration guidance steps and migrate the databases to Microsoft Azure services with the minimal downtime.

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Ahmad Yaseen
Assess and Migrate Databases

Migrating SQL workloads to Microsoft Azure: Assessment and Migration Tools

July 31, 2020 by

In the previous articles of this series we discussed how to draw the initial strategy when planning to migrate the SQL workload to Microsoft Azure, the different database target platforms provided by Microsoft Azure that can be used as a migration target, based on the workload type, and finally, we went through some tools that help in discovering and assessing the on-premises environment by identifying the migration blocking issues and providing guidance steps for the migration process.

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Ahmad Yaseen
Migrate a SQL database

Migrating SQL workloads to Microsoft Azure: Guidance and Assessment Tools

July 30, 2020 by

In the previous articles, Migrating SQL workloads to Microsoft Azure: Planning the jump and Migrating SQL workloads to Microsoft Azure: Services Selection, we discussed the steps that you should follow when you start thinking loudly that you need to migrate your SQL workload to Azure, by checking your on-prem site and the available services and features in Azure that meet your workload handling requirements. After that, we went through different database services provided by Azure and which one fits a specific workload, in order to make it easy for you to translate the current workload as an Azure service.

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Ahmad Yaseen
Azure SQL Database

Migrating SQL workloads to Microsoft Azure: Services Selection

July 28, 2020 by

In the previous article, Migrating SQL workloads to Microsoft Azure: Planning the jump, we discussed the main points that should be checked and considered while drawing your plan to migrate the SQL workload from the on-premises datacenters to Microsoft Azure. In this article, we will go through the different database services that are provided by Microsoft Azure to help you in selecting the proper service that can serve your SQL workload when migrating it to Microsoft Azure.

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Dinesh Asanka
After publishing the model.

Prediction in Azure Machine Learning

July 16, 2020 by

Introduction

After discussing the basic features of azure machine learning and how to clean the data from Azure Machine learning, let us look at how to perform prediction in Azure Machine Learning. Prediction is one of the important aspects of machine learning as it will help to make strategic decisions.

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Aveek Das
Deploy to Azure

Deploy Python apps to Azure Functions using Visual Studio Code

July 10, 2020 by

In this article, we are going to build a small python application and deploy it to Azure Functions. The development and the deployment will be done using the Visual Studio (VS) Code. As you might be aware, VS Code is one of the most widely used and preferred code editors for programmers. It is a cross-platform tool, which means you can install this tool on any operating system of your choice, starting from Windows, Linux, or Mac OS.

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Aveek Das
Function URL up and running

Getting started with Azure Function Apps

June 25, 2020 by

In this article, I am going to explain how to get started with Azure Function Apps. In my previous article, An introduction to Serverless Applications, I have mentioned the serverless architecture and the various cloud offerings to develop serverless applications. As we know, in serverless architecture, the users only write the business logic code, and all other worries are taken care of by the cloud provider. This helps businesses to quickly implement solutions and ship it to customers with more quality. Also, another important point about serverless applications is that they are scalable on-demand, which means as a developer, we no longer need to monitor or manually pull up the resources when the executions are more.

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Aveek Das
AWS Lambda – Serverless Applications

An introduction to Serverless Applications

June 25, 2020 by

In this article, I am going to describe what are serverless applications and how are these developed. I will also introduce the concepts of serverless computing and how to deploy one using Azure Functions. This article is targeted towards most of the data professionals who want to gain some basic knowledge of serverless applications and the underlying architecture and cloud computing. In recent times, cloud computing has become one of the most important domains for many big organizations and it has thus become essential for all to have some basic information on the same.

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Dinesh Asanka
Experiement configuration is Azure ML Studio.

Introduction to Azure Machine Learning using Azure ML Studio

June 18, 2020 by

Introduction

Let us see how Azure ML studio can be used to create machine learning models and how to consume them in this series. As we discussed during the data mining series, we identified the challenges in the predictions in data. In the Azure Machine learning platform, machine learning workflows can be defined in easy scale models in the cloud environment. Today will be looking at how datasets can be uploaded.

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