In this article, we’ll walk-through the SQL Pivot and SQL Unpivot operators and how they can be useful to transpose SQL Server data. Also, we’ll discuss both static and dynamic ways to use PIVOT and UNPIVOT relational operators that can be used to transform aggregated distinct values as column(s) in the result-set by specifying all the column values in the PIVOT IN clause.Read more »
Latest posts by Prashanth Jayaram (see all)
- A quick overview of In-Memory OLTP in SQL Server - February 12, 2020
- Introduction to SQL - January 29, 2020
- Provisioning SQL Server 2019 Azure Container Instance using PowerShell - March 28, 2019
In this article, we’ll walk-through the SQL update statement to modify one or more existing rows in the table.Read more »
In this article, we are going to learn how to use the SQL LIKE operator, in SQL Server, using regular expressions to find and/or manipulate text. We will start by learning the symbols and basic syntax of using wildcard regular expressions. We will use character sets and repetition expressions to create flexible matching patterns, and along the way, we’ll examine different ways to use the LIKE operator. And then, finally, in the latter part of the section, we will explore some of the most common and most useful regular expression examples.Read more »
This article will provide a deep dive into the SQL Union operator, describing its many uses along with examples and explore some common questions like the differences between Union vs Union All.Read more »
This article explores the string manipulation using SQL Coalesce function in SQL Server.
String manipulation is a process to generate another form of existing data in a way the business uses or displayed as results in the reports. Previous SQL string function articles, I have written, including SQL string functions for Data Munging and SQL Substring function overview discussed data preparation and data management tasks using built-in SQL Server string functions.Read more »
This article will provide an overview of the SQL Join and cover all of the SQL join types including inner, self, cross and outer. For inner joins we’ll be discussing Equi and Theta joins.Read more »
The requirement of data refactoring is very common and vital in data mining operations. In the previous article SQL string functions for Data Munging (Wrangling), you’ll learn the tips for getting started with SQL string functions, including the substring function for data munging with SQL Server. As we all agree that the data stored in one form sometimes require a transformation, we’ll take a look at some common functions or tasks for changing the case of a string, converting a value into a different type, trimming a value, and replacing a particular string in a field and so on.Read more »
In this article, you’ll learn the tips for getting started using SQL string functions for data munging with SQL Server. In many cases, Machine learning outcomes are only as good as the data they’re built on – but the work of preparing data for analytics (that is, data wrangling) can eat up as much as 80% of your project efforts.Read more »
A workload management is considered as a critical aspect of SQL Server transactional replication. Replication is the oldest of the high availability technologies in SQL Server and it is available since the inception of SQL Server. As a very mature technology, SQL Server transactional replication is also very robust and, in most cases, very straightforward to set up and manage.Read more »
This is article is a continuation of the previous: SQL Server replication: Overview of components and topography.
By now, you’re familiar with the components of replication. So far, we’ve seen a lot of theory about replication. It’s a time for practical walkthrough of setting up a basic transactional SQL Replication system. The best way to get a feel for how SQL Replication is implemented and how it works is to see it in action.Read more »
In this data-driven era, replication is often a critical requirement for achieving a modern, agile database management environment. It is believed designing an enterprise-grade dataset is the to achieving this requirement but building datamarts from datasets always presents certain challenges
In this article, we’ll discuss what it takes to setup “central subscriber with multiple publishers” replication model, to create an aggregate dataset from multiple sources, and you’ll also see how to scale with the data.Read more »
The volume of data retained, managed, and accessed today is unprecedented. Businesses expect the IT department to keep data online and accessible indefinitely, putting intense pressure on the databases required to store and manage it. To meet today’s needs; we need to replace outdated and inefficient legacy processes with new, more agile techniques. SQL Server Replication is one of the techniques to accommodate such demands.Read more »
In most cases, an organization can either use the existing out-of-the-box database replication features offered by their database software provider or invest in custom solutions to execute and manage database replication processes. The latter option sometimes allows greater flexibility to create data replicas across multiple types on multiple platforms.Read more »
Bringing impactful analysis into a data always comes with challenges. In many cases, we rely on automated tools and techniques to overcome many of these challenges.Read more »
In this article, you’ll learn how to setup a simple, custom distributed database replication system.
In general, a typical setup of transactional replication model of a central publisher with multiple subscribers includes the creation of a replica database(s) which may serve multiple purposes including:Read more »
This article discusses the challenges of meeting the availability, and performance requirements of high ended transactional replication environments. In addition, you’ll learn a new innovative approach that can be used to add/drop articles from an existing replication environment while maintaining replication system up and running.Read more »
Business transformation requires solid tools to automate complex integration to seamless deployments. In today’s modern data-rich world, nothing is more important than data management, making it critical to know how to safeguard and meet compliance requirement is very critical and the key to the business success.Read more »
In this article, we’ll discuss how to read SQL Server transaction logs. This article should provide and insight into how the workload is being captured in the transaction log files. We are going to see how to get the transaction meta-data details and the history of the data will give us a clear idea of how the system is working and helps to decide peak usage hours, also helps to log information about who is doing what?Read more »
Monitoring databases for optimal query performance, creating and maintaining required indexes, and dropping rarely-used, unused or expensive indexes is a common database administration task. As administrators, we’ve all wished, at some point, that these tasks were simpler to handle.Read more »
In the article How to setup SQL Server database replication for reporting Server we discussed all about setting up a simple SQL Server transactional replication environment. In this article, we’ll simulate a more robust system that replicates faster and includes both DDL and DML statements. We’ll walk-through the steps to setup a dynamic transactional replication.Read more »
The growing importance and complexity of data migration, in an era of exploding data volumes and ever-changing business requirements, means that old approaches will no longer get the job done. We are in a world where everything needs to run instantly. Every Database Administrator or Developer would have definitely heard about database migrations with zero downtime and with zero data loss.Read more »
SQL Server 2017 is considered a major release in the history of the SQL Server life cycle for various reasons. From my personal point of view, SQL Server 2017 is indeed an interesting release. After writing lot about it and testing various features of SQL Server 2017, I’d like to walk you through some of its interesting features.Read more »
Microsoft Azure Data Studio is a new GUI-based (vs CLI) lightweight tool for developing and managing your modern SQL databases. The tool resembles Microsoft’s lightweight code editor, the open source IDE Visual Studio Code in terms of functionalities and the UI in general. If you’ve used Visual Studio Code (or VS Code), you’d feel at home with Azure Data Studio. Azure Data Studio also integrates really well other products like Azure SQL Database and Data Warehouse has been made very simple. Azure Data Studio is a cross-platform tool available for Linux, Windows, and Mac to manage the SQL Server databases. You can go ahead and download Microsoft Azure Data Studio to try it out!Read more »
One of the major challenges we face today, in the software development lifecycle, is with respect to development and deployment. As applications are deployed by moving various pieces of the SQL code between several versions, configuration, different editions, and sometimes even different platforms, deployment becomes daunting. In my opinion, scripting helps a lot and can really “grease the wheels” with addressing many scenarios that involve such complexity.
The importance of database level scripting is high, but it is getting easier by the day. Scripting is a process of generating a text file that contains the data structures and data from the database objects.
So, do we have a SQL native tool which serves the various purposes and usage? In some cases, the answer’s a yes, and in others, it’s a no.Read more »
A little curiosity on my part led me to research a little further on the available pieces of SQL Server Tools. A cross-platform tool for continuous integration and deployment, called SqlPackage, is part of SQL Server Data Tools. I picked it up because continuous integration, delivery and deployment are now must-have in the modern-day application development paradigm.
We’d talk about the following in this article:
- The Database Management Life Cycle
- Complexities of the database release management process
- Introduction to SQL Server Data Tools and SqlPackage
- Using SqlPackage.exe, with examples