Prashanth Jayaram

Prashanth Jayaram

Getting Started with Azure Cosmos DB and MongoDB API

November 7, 2018 by

In the previous article on Azure Cosmos DB, we reviewed NoSQL concepts and how to integrate with the Microsoft Azure platform-as-a-service model using the API. After working as a database engineer for over a decade, I feel that this technology is the future for many organizations for various reasons. I had that in mind as I wrote this article which will provide basic information and help you to get started with MongoDB API integration. The MongoDB API works with BSON documents. BSON is MongoDB’s binary-encoded-version of JSON, and it extends the JSON model with additional language feature support. It’s a great effort from Microsoft to build the enterprise solutions which provide flexibility in manage distributed data along with scalable option.

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Graph database implementation with Azure Cosmos DB using the API

November 5, 2018 by

In my previous article, I’ve discussed a lot about the Graph database implementation with SQL Server 2017. In this case, we’ll see a walk-through of Graph API integration with Azure Cosmos DB.

Before we jump into the concepts though, let’s take a high-level overview of NoSQL databases. A NoSQL database is designed in such a way that no extra efforts are needed for the database to be distributed because NoSQL Database designed that way.

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SQL date format Overview; DateDiff SQL function, DateAdd SQL function and more

October 31, 2018 by

SQL date format functions like the DateDiff SQL function and DateAdd SQL Function are oft used by DBAs but many of us never took the time to fully understand these extremely useful features. For professionals just getting started with SQL Server, these functions are some of the first to become familiar with. So hopefully this article will have a little something for everyone across the skill spectrum

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Overview of the SQL Insert statement

October 16, 2018 by

This article on the SQL Insert statement, is part of a series on string manipulation functions, operators and techniques. The previous articles are focused on SQL query techniques, all centered around the task of data preparation and data transformation.

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Static and Dynamic SQL Pivot and Unpivot relational operator overview

October 12, 2018 by

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.

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Overview of the SQL LIKE Operator

October 2, 2018 by

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.

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Using the SQL Coalesce function in SQL Server

September 20, 2018 by

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.

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