SQL Shack - articles about database auditing, server performance, data recovery,...

In this article, we will guide you through tracking data changes on the Azure SQL database and introduce common use case scenarios and learn how to get the most out of system-versioned tables.

In the article, Deploy your AWS RDS Aurora database clusters for MySQL, we explored the Amazon Aurora concept and deployment. In this article, we will understand about the global database feature and its implementations.

In this article, we will learn how to develop U-SQL jobs on Azure Data Lake Analytics to process data stored in Data Lake Storage.

Introduction

Amazon offers managed database service for various database products such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle. In these relational database services (RDS), AWS manages the operating system, networking components, backups, monitoring solutions. In the previous articles, we explored many useful RDS features under the AWS RDS category on SQLShack.

In the previous articles, we discussed how to create an Azure Data Factory pipeline to copy data between different data stores that are located in on-premises servers or in the cloud, how to transform data using Azure Data factory Mapping Dataflow activity and how to run an SSIS package using Azure Data Factory.

This article aims to help you understand the concept of Azure Data Lake Analytics capability offered by Microsoft in the Azure cloud.

In this article, I am going to explain in detail about the SQL Server Agent service. This is a windows service that enables database developers and database administrators to schedule jobs on the SQL Server machine. The jobs can be simple T-SQL scripts, stored procedures, SSIS packages or SSAS databases. This service is available on all the editions of SQL Server except the Express edition.

In this article, we will explore Web Scraping using R Scripts for SQL Machine Learning.

The SQL Server execution plan (query plan) is a set of instructions that describes which process steps are performed while a query is executed by the database engine. The query plans are generated by the query optimizer and its essential goal is to generate the most efficient (optimum) and economical query plan. Some query plans that are created by the query optimizer contain some interesting characteristics. In this article, we will go into details of these interesting query plans.

In this article, I am going to explain what change tracking is in SQL Server and why do we need it. I will also illustrate the same using some practical examples using triggers in SQL Server. Change tracking as the name suggests, is a mechanism that helps us to identify the changes in the database as the application grows. In other words, it enables us to have a history of the changes that have been made to one or more tables in the database. The changes can be considered as either INSERTs, UPDATEs, or DELETEs.

Gaining experience in SQL query tuning can be very difficult and complicated for database developers or administrators. For this reason, in this article, we will work on a case study and we are going to learn how we can tune its performance step by step. In this fashion, we will understand well how to approach query performance issues practically.

In this article, we will read and import data from a PDF file using the R scripts SQL Server.

In this article, I am going to show how we can identify unused SQL databases. In our organization, after release deployment, we receive the database refresh requests. To refresh the database, we were instructed to perform the following tasks:

In this article, you will see how to use the Extract function in Power BI to extract information from columns in a Power BI dataset.

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.

Introduction

Troubleshooting using Wait Stats in SQL Server is an important perspective when it comes to managing databases. As a database professional, you might have come across situations, where your end-users are not happy with reports being slower. It will leave you to find the reason for the report slowness.

In this article, I am going to explain how we can configure iSCSI initiator and iSCSI target server on ubuntu 18.04. In my previous article, we have learned the step by step configuration process of configuring the iSCSI target and initiator in Windows Server 2016. The following are the links to these articles:

In this article, I am going to explain in detail how to document SSIS packages using Sequence Diagrams and the importance of these diagrams in the field of software engineering, no matter which programming language are you using. In my previous article, I have talked about the various UML Diagrams that are being used to document various software engineering processes. Also, I have talked about modular ETL architecture and how to create such a modular package in SSIS. Sequence diagrams are also a part of the broader UML Diagrams which define the interaction between the various components in the system in a chronological manner.

In this article, we will focus on SQL Machine Learning using R scripts and the use of external packages.

In this article, I am going to demonstrate about implementing the Modular ETL in SSIS practically. In my previous article on Designing a Modular ETL Architecture, I have explained in theory what a modular ETL solution is and how to design one. We have also understood the concepts behind a modular ETL solution and the benefits of it in the world of data warehousing. We have also related the concept of microservices architecture in software development to that of the modular ETL solution.

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: