SQL Injection is a well-known technique used to attack SQL-based applications. In this article, we’ll focus on examples showing how you could exploit database vulnerabilities using this technique, while in the next article we’ll talk about ways how you can protect your application from such attacks.
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In this article, I am going to show how we can automate a database daily health report using T-SQL scripts. For a senior database administrator, it is always important to review the health of the database server. When a DBA manages many database servers, it becomes difficult to visit every server and review the status of databases, SQL jobs, and backups. To ease the monitoring, I have developed a T-SQL script that populates the following information:
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In this article, we will see different methods to copy the Azure SQL database. With the advent of all the business dynamics available in today’s IT industry, there is a huge paradigm shift towards automation. You need to constantly innovate and keep moving forward.
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Non-Equi join in SQL Server sounds like something abstract (and fancy), but it’s not so abstract (and fancy) at all. The same stands for equi joins. After reading this article, I hope you’ll agree on that with me. Today’ I’ll try to explain what they are and when you should use them. So, let’s start.
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In this article, I am going to demonstrate how we can identify the unused tables of a given SQL Database. As a database administrator, we must maintain the tables and objects of the SQL Database. In my organization, when we add a new column or change the data type of a column, we export the data of the existing table in the backup table. Often, we forgot to review and maintain those backup tables. So as a solution, we decided to create a SQL Job that populates the list of unused tables and email the list to the DBA Team for review.
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In the 20th article of the SQL Server Always On Availability Group series, we will explore the process to refresh an availability group database using SQL scripts. In this article, we will use the DBATools commands for this purpose.
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In this article, we will explore taking backups of native SQL databases into the AWS S3 bucket.
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In this article, we will learn how to parse and query JSON in SQL Server with the help of the OPENJSON function. Firstly, we will briefly look at the data structure of the JSON and then we will learn details of the parsing and querying JSON data using the OPENJSON function.
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There are plenty of tools out in the market to manage Azure Cloud platform— Azure Management Web portal, Visual Studio, Visual Studio Code with Azure Studio SDK, Azure PowerShell, Azure CLI, and Azure Cloud Shell.
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Microsoft Azure Automation service provides a framework to create and schedule workflows to simplify the repetitive and mundane tasks that Cloud administrators perform with Azure. The workflows are commonly known as run-books.
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In today’s article, we’ll take a look at 4 common SQL-related jobs and roles and explain what kind of tasks you could expect at each of these roles and what types of queries you’ll possibly use to solve these tasks. If you’re already in any of these roles, you’re probably familiar with this, but if you’re new to the world of SQL, you could find this very useful to decide in which way you want your career to develop.
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The future of PowerShell is bright—the scale in which Cloud automation adoption with major tech giants such as Microsoft, Google, Amazon, and VMWare is seemingly much higher.
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In this article, you will see how to import data from JSON files and Power BI Rest API into the Power BI environment.
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In this article, I am going to cover in detail working with databases in Python using Pandas and SQLAlchemy. This is a part of the series Learn Pandas in Python where I talk about the various techniques to work with the Pandas module in Python.
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Sometimes database professionals need to perform specific tasks at the operating system level. These tasks can be like copying, moving, deleting files and folders. A use case of these tasks might be removing the old backup files or copying backup files to a specific directory after a particular time. In SQL Server, we can use xp_cmdshell extended stored procedure to execute commands directly in the Windows command prompt(CMD). You need a sysadmin role or proxy account configured to use this extended procedure. We can also use the SSIS package for the file transfer, but it also requires you to build a package with the relevant tasks.
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In this article, I am going to demonstrate how to connect to databases using a pandas dataframe object. Pandas in Python uses a module known as SQLAlchemy to connect to various databases and perform database operations. In the previous article in this series “Learn Pandas in Python”, I have explained how to get up and running with the dataframe object in pandas. Using the dataframe object, you can easily start working with your structured datasets in a similar way that of relational tables. I would suggest you have a look at that article in case you are new to pandas and want to learn more about the dataframe object.
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In this article, I am going to explain in detail the Pandas Dataframe objects in python. In the previous article in this series Learn Pandas in Python, I have explained what pandas are and how can we install the same in our development machines. I have also explained the use of pandas along with other important libraries for the purpose of analyzing data with more ease. Pandas provides a dataframe object which makes it relatively easier to consider working with the data as it provides a tabular interface for the data in it. People who are already familiar in working with relational databases, they can really find similarities between a table in the database and the dataframe object in pandas.
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In this article, we are going to learn how to create a temp table and further drop these tables. The temporary tables are session-specific tables that are created within the session. When the session closes, the table is dropped by itself. A temporary table exists within a session only; therefore, a table created by one session is not visible to another session. For example, Session ID 501 has created a temporary table then session ID 502 cannot access it or manipulate it. Two different sessions can have a temporary table with the same name.
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Using PowerShell automation, one could easily automate the most common tasks. The future for PowerShell as the automation framework is bright. Shipping PowerShell core on the hybrid platform has opened up new markets, new customers, and new opportunities for Microsoft. At the same time, we still strongly believe in Powershell on Windows Server, Linux and macOS as a great combination for automation.
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In this article, I am going to explain what Jupyter Notebooks are and how to install the same on your machine. Further, I will demonstrate how to use these notebooks using Visual Studio Code and perform data analysis and other development activities. It is an open-source platform using which you can create and share documents that contain live code, equations, and visualizations along with the formatted text. Most importantly, these notebooks can be run on the web browser by just starting a server and using it. This open-source project is maintained by the team at Project Jupyter.
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In this article, I am going to explain how to use Pandas in Python. Pandas is one of the most popular modules in python that can be used for data manipulation and analysis using python. Basically, it provides an easy interface to interact with flowing data and apply transformations to them on the go. This module is covered under the BSD license and can be used for free. You can download this module by visiting the website or by installing it through the python package manager.
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Microsoft Azure offers hundreds of cloud products, with more on the way. In the database space, Microsoft offers Azure Cosmos DB, a NoSQL database product. We can build Java, .Net, etc. applications around Cosmos DB resources. To extend this capability, this article will show how to query Cosmos DB directly from SQL Server.
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In this article, I am going to explain what Amazon S3 is and how to connect to it using python. This article will be focused on beginners who are trying to get their hands on python and working around the AWS ecosystem. AWS, as you might know, is one of the largest cloud providers along with Microsoft Azure and Google Cloud Platform. There are a lot of services offered by Amazon including AWS S3. Amazon S3, also abbreviated as Amazon Simple Storage Service is a storage service offered by the cloud provider that enables the users to store any kind of files in this service. It is designed to make web-scale computing easier for developers.
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This is the 7th article in the series of SQL Server Always on Availability Groups.
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In my previous article, Understanding common Data Structures, I have mentioned the most commonly used data structures in software programming. In this article, let us get into some more details about the other data structures that are a bit complex than the ones already discussed but also used quite often while designing software applications. Here, we will look into the following data structures.
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