The final article will take us through Power BI Visualizations and how to create them using the data sets created previously in these series. The walkthrough will cover 3 basic Visualizations: Table, Pie Chart, and Line Chart. These will then combine to create a basic report/dashboard within Power BI.
Read MoreThis article will cover off importing data, manipulating data, and finally managing relationships within Power BI. Again, like the previous article, this one will focus on the basic principles of using Power BI, as opposed to an in-depth walkthrough.
Read MoreThis article is dedicated to a slightly more complex product analysis with Full-Text Search as opposed to the first part where we looked at how to perform a basic product analysis.
Read MoreThis article considers how to perform basic product analysis using Full-Text Search.
Additionally, the readers are going to learn some practical examples of product analysis regarding sales with the help of Full-Text queries.
Read MoreThis is going to be the final article in the series of articles on the life of IDE developers for databases. So in this part, I will spread the word about how the introduction of product analytics impacted some aspects of development.
This is the third article in the series of articles on the life of IDE developers for databases.
Its structure will be similar to the first one and the second one, even so, I am not going to tell you about the parsing of text. This article will present information on some tricks working with files and various problems of creating a big desktop application on the .NET platform.
This is the second piece from the series of articles about the life of database IDE developers. Its structure is similar to that of the previous article. Just like in the first one, I’ll talk about the issues we faced and the solutions we arrived at – both effective and not so much. To understand this article, you don’t have to read the first part in its entirety, but the first few paragraphs would be useful to help you grasp the context.
For a SQL database developer, it is essential to have the necessary SQL tools in hand, which enable to reduce the development time of given functionality. The same is true for the tester. For a database administrator, it is also important to have monitoring tools.
In this article, we are going to look at some MS SQL Server development and monitoring tools, such as:
I’ve been working for a company that develops IDEs for database interaction for more than five years. Before starting to write this article, I had no idea how many fancy tales would lie ahead. Thus after making 30 pages of it, I decided to group up the tales thematically and divide the article into several parts.
JSON is an acronym for JavaScript Object Notation, that became popular a little over seventeen years ago. JSON is essentially a data format, it was popularized by Douglas Crockford, a well-known programmer with an interesting history who was also involved in the development of JavaScript. JSON has nearly replaced XML as a cross-platform data exchange format. It is reported to be lightweight and easier to manipulate compared to XML. In AWS CloudFormation, templates, which are actually JSON (or YAML) formatted documents, are used to describe AWS resources when automating deployments.
JSON is also used extensively in NoSQL databases such as the increasingly popular MongoDB. Virtually all the Social Media giants expose APIs that are based on JSON. I am sure you begin to get the idea of how widespread its applications have become. JSON was standardized in 2013 and the latest version of the standard (ECMA-404: The JSON Data Interchange Syntax) was released in 2017.
SQL Server introduced support for JSON in SQL Server 2016.