SQL Essentials stairway series helps readers understand the most common database language SQL uses for data munging and data wrangling. SQL Essentials articles is a collection of SQL standards and best practices and help you take you in step closer to learn database query.
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In this article, I am going to talk in detail about the functions and arguments in Python. Python is one of the most popular and in-demand programming languages. Recently, a lot of programmers are gaining interest to work with python and as such, there is a huge community around it that is constantly evolving. Python is also considered to be one of the most flexible languages as it can be used to develop web-based applications, REST APIs as well as can also be used significantly in the scientific computation world to deal with data analysis and machine learning.
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In this article, I am going to write about the various ways we can work with JSON data in Python. JSON stands for Java Script Object Notation and has become one of the most important data formats to store and transfer data across various systems. This is due to its easy-to-understand structure and also because it is very lightweight. You can easily write simple and nested data structures using JSON and it can be read by programs as well. In my opinion, JSON is much more human-readable as compared to XML, although both are used to store and transfer data. In modern web applications, by default JSON is being used to transfer information.
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In this article, I am going to introduce a few concepts of how to set up and get started with R and RStudio to perform machine learning workloads. It has always been the heat of the discussion on whether to choose Python or R for performing Machine Learning analysis. In my opinion, both the languages excel in their own space and there is no point-to-point comparison between the two directly. Mathematicians and statisticians like to work within the R environment, while programmers choose to work with Python.
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In this article, we will discuss the Fuzzy joins in the SQL Server Machine Learning using R scripts.
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In this article, I am going to explain what a REST API is all about and how to get started with creating APIs in Python using Flask. In the recent software world, REST APIs play a major role as a communication channel between different services. It has become the de facto standard of passing information across multiple systems in the JSON format. This is because it has a uniform interface to share messages across two different systems. Let us learn more about REST APIs in this article.
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This article will show how to create an Azure SQL database using Azure PowerShell.
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Dynamic SQL is a programming technique you can use to build SQL statements as textual strings and execute them later. This technique could prove to be useful in some cases and therefore it’s good to know we have it as an option. In today’s article, we’ll show how to create and execute dynamic SQL statements.
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In this article, we will explore SUBSTRING, PATINDEX and CHARINDEX string functions for SQL queries.
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In this article, I am going to discuss the various ways in which we can use Pandas in python to export data to a database table or a file. In my previous article Getting started with Pandas in Python, I have explained in detail how to get started with analyzing data in python. Pandas is one of the most popular libraries used for the purpose of data analysis. It is very easy and intuitive to use. Personally, I love using the library due to the ease of use and the great documentation that is available online.
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In this article, I am going to explain some of the advanced usages of data-tier applications in Visual Studio. In my previous article, Working with Database Projects, I have explained how you can start building your database applications for SQL Server and Azure SQL Database using Visual Studio. This article will specifically focus on using SQLCMD variables and Publish Profiles of the Data-Tier Application development. For a better understanding, I would recommend reading the previous article and it will help to clear the basic concepts.
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In this article, I am going to discuss some of the best practices that a programmer must follow while programming in python. Python as a language has evolved to a great extent over the last few decades and has gained popularity amongst a lot of software programmers, data enthusiasts, and system administrators. This is because of the ease of writing code in python and the large community behind it.
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Learning SQL programming is valuable for our career and might help to increase our incomes but most importantly it will be the best investment you will make for yourself. However, beginners don’t know the exact starting point to begin learning the SQL language. Learning SQL depends entirely on your effort and desire, and other things are just details. This article will give some tips on how to learn SQL without going into technical details so that so you can get started in learning SQL right now.
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In this article, we will learn how to use SQL SELECT TOP queries and we will also reinforce this learning using examples.
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In Azure, the Import/Export operation of the Azure SQL database is a vital part of the database migration methods. It is important to choose the most viable option as per the database migration strategy and business requirements. In addition, the applications that are configured with Azure SQL PaaS databases, the migration specialist could decide and identify several common scenarios where Azure PaaS database are scripted, copied, migrated, moved or backed up.
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In this article, we are going to learn how we can develop a T-SQL script to update statistics of tables based on the row modification. It is always a challenging task to perform maintenance on a table that has billions of rows. During the early years of my professional career, I was assigned a project and one of our clients had performance issues. The initial analysis showed that due to frequent data modifications, a specific table’s statistics become outdated.
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PowerShell becomes a de facto toolset in the arsenal of Azure automation. PowerShell provides a platform and a friendly way of automating many repeated tasks, which in turn minimize the time-and-cost. PowerShell always comes to the rescue when there is a need for automation, and it is no different for Azure. If you are already familiar with PowerShell cmdlets, then it will be easy to be acquainted with Azure PowerShell modules. For Azure automation, Microsoft provided a set of Azure PowerShell Modules that can be leverage to manage the Azure Cloud platform.
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In this article, we will explore Web Scraping using R Scripts for SQL Machine Learning.
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In this 38th article for SQL Server Always On Availability Groups, we will explore Windows PowerShell scripts to configure it.
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In this article, we will read and import data from a PDF file using the R scripts SQL Server.
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Data professionals get requests to import, export data into various formats. These formats can be such as Comma-separated data(.CSV), Excel, HTML, JSON, YAML, Tab-separated data(.TSV). Usually, we use SQL Server integration service ETL packages for data transformations, import or export data.
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In the article, An overview of SQL Machine Learning with R scripts, we learned the R services integration with SQL Server 2019. We also explored a few useful external packages.
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In this article, we will focus on SQL Machine Learning using R scripts and the use of external packages.
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Azure SQL Database—a cloud-based service model provides a platform to back up the data and ensure to keep the business up-and-running even after the disaster. The data is vital and backup of the data revolves around the process of backup, restoration, recovery, Business-Continuity-Plans (BCP), and disaster recovery (DR). In this article, we will learn:
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In this article, we will explore User-defined SQL Server Types and their usage.
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