SQL Server 2019 is the latest version of the versatile and venerable SQL Server. This latest version continues to redefine SQL Server from a traditional relational database system to a data platform for every data scenario from OLTP to DW to now big data and analytics. In this video, we’ll give you a quick overview of all the new things in SQL Server 2019 and introduce all of the other videos in this series that dive into the details.
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SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
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This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,
In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.
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Since the release of SQL Server 2017 for Linux, Microsoft has pretty much changed the entire game. It enabled a whole new world of possibilities for their famous relational database, offering what was only available in the Windows space until then.
I know that a purist DBA would tell me right away that the out of the box SQL Server 2019 Linux version has several differences, in terms of features, in regards to its Windows counterpart, such as:
However, I got curious enough to think “what if they can be compared, at least to some extent, against things that both can do?” So, I pulled the trigger on a couple of VMs, prepared some simple tests, and collected data to present to you. Let’s see how things turn out!
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In this article, I am going to explain how we can move the SQL database files to another location in Ubuntu 18.04. For the demonstration, I have installed Ubuntu 18.04, SQL Server 2019 on Linux on my workstation. You can read SQL Server 2019 on Linux with Ubuntu to understand the step-by-step installation process of the SQL Server 2019 on Linux. We will move database files of AdventureWorks2019 and Wideworldimportors database. To move the databases, we can use any of the following methods:
First, let us view the current location of the database files.
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