Microsoft announced cross-platform support of SQL Server – the SQL Server 2017 and SQL Server 2019 work on Microsoft Windows and Linux. We can install SQL Server 2017 and higher on Red Hat Enterprise Linux, Ubuntu, and SUSE Enterprise Server. We can also set up high availability and disaster recovery mechanism for SQL Server on Linux like SQL Server Log shipping and AlwaysOn Availability Group.Read More
Would SQL Server graph database features fit your next project? While you may not know the definitive answer right now, you might be wondering, “What problems does it solve?”.Read More
Interview is the most significant step of SQL database administrator recruitment. During the interview, a technical person or interviewer asks questions about the technical experience of a candidate. The purpose of these questions is to understand candidate’s experience about SQL Server. The answers to the questions will measure your knowledge and experience. If you cannot prove your experience in this interview, most probably the decision on your employment will be negative. First of all, you should be calm during the interview. This advice is the most significant key to success. The first question of an interview is about your past experience and skills. Being relevant to this question, you should describe your old and current job responsibilities and skills. You must be sure that you demonstrate all of your knowledge and experience to the interviewer. Because this introduction makes the first impact on your potential employer. Read More
SQL Server 2017 is the biggest release and most important releases in the Microsoft product history simply because of the freedom that it gives to install the product anywhere. The advent of the Docker containers and growing emphasis on open source solutions opened the door to greater technological innovation and advancement.
This article discusses the following topics:
- Introduction to Docker container
- Pre-requisite to build Docker container
- A walkthrough of the setup process to build a SQL Server instance running on the Linux CentOS and in a Docker container
- How to connect to the database engine
- How to connect to the database engine externally
- And more…
Often, we need to ensure fault tolerance of MS SQL Server DBMS, especially, when there is no Enterprise edition, but only the Standard one.
We would like to note that we are not going to examine the Express edition because there are significant restrictions to this instance. Sure, we can bypass some of them. For example, to resolve the issue with the database size of 10 GB, we can split a large database into smaller ones. To do this, we can create a new database based on a certain property, and combine the selections from the same tables of different databases in the views in the principal database. However, fault tolerance in the Express edition will be performed either by a system administrator or by using your own or third-party software.
In this article, we are going to explore all existing standard fault-tolerance technologies for MS SQL Server 2017 and an example of implementing the most suitable unified standard of fault-tolerance in the Standard edition.
In this article, we will examine Database Scoped Configurations and SQL Server 2017 Automatic Plan Correction. Microsoft added new features to SQL Server 2017 that improved the query performance. Read More
SQL Server 2017 now is considered as a hybrid database enterprise solution as it expands its market and is ported to other operating system platforms. It also includes mainstream support for Linux machines. The Cloud makes the life of administrator much easier, now it’s no longer daunting task to configure the SQL Server instance. The easiest way to explore SQL Server on Linux is to provision a virtual machine through Microsoft Azure portal – portal.azure.com. The Linux azure virtual machine will come pre-configured with Linux and SQL Server 2017.