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Microsoft SQL Server Web Data Administrator (Part 1) ~UPD~


Many database administrators (DBAs) tell me that one of the main reasons they run their Microsoft SQL Server instances on Red Hat Enterprise Linux (RHEL) is to reduce costs. The fact is, many SQL Server shops have a proliferation of smaller instances of Express and Standard editions in their environments.




Microsoft SQL Server Web Data Administrator (Part 1)



This is a very powerful IDE(Integrated Development Environment) from Microsoft that used for building applications. It includes code which supports intellisense and code refactoring. VS can easily be used to managed MS SQL server databases.


This is one of the oldest tools for DBAs. SQLWebAdmin enables you to easily manage you SQL database server from anywhere via a browser interface. It allows you to perform the following from a web interface:


The Azure database administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on SQL Server and SQL database services. Professionals in this role use a variety of methods and tools to perform and automate day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.


MBAM stores its data in SQL, so obviously a SQL server instance should be available for this purpose. All SQL versions from 2008 R2 up to SQL 2017 (RTM) are supported for the database role, however SQL must be installed using the SQL_Latin1_General_CP1_CI_AS collation. SQL reporting services is also required for the reporting element of the installation, remember if you are using SQL 2017 for instance the SSRS installation is a separate install.


Security is often considered the most important of a database administrator's responsibilities. SQL Server has many powerful features for security and protecting data, but planning and effort are required to properly implement them. In this article, the first of a series, Robert Sheldon reviews the many components available to secure and protect SQL Server databases.


Principals are individuals, groups, or processes that are granted access to the SQL Server instance, either at the server level or database level. Server-level principals include logins and server roles, which are listed in the Logins and Server Roles subfolders in the Security folder:


For each security principal, you can grant rights that allow that principal to access or modify a set of securables. Securables are the objects that make up the database and server environment. They can include anything from functions to database users to endpoints. SQL Server scopes the objects hierarchically at the server, database and schema levels:


Permissions define the level of access permitted to principals on specific securables. You can grant or deny permissions to securables at the server, database, or schema level. The permissions you grant at a higher level of the hierarchy can also apply to the children objects, unless you specifically override the permissions at the lower level.


One of the most valuable SQL Server security tools is SQL Server Audit, which provides a structure for tracking and logging events that occur within the database engine. With SQL Server Audit, you can monitor events at the server level, database level, or both.


In addition to the audit object, an audit usually includes a server audit specification, a database audit specification for each applicable database, or a combination of any of these. The specifications determine which events should be audited at the server level or database level. For example, Figure 8 shows a database audit specification that audits UPDATE and DELETE events on the Sales.Customers table.


In addition, DBAs and IT administrators must ensure that the host server is physically protected and that network safeguards such as firewalls and intrusion detection are in place. A SQL Server instance must be both physically and logically protected to achieve the maximum security.


A data source is a source of data combined with the connection information that is required to access that data. Examples of data sources are SQL Server, Oracle RDBMS, a spreadsheet, and a text file. Examples of connection information include server location, database name, logon ID, password, and various ODBC driver options that describe how to connect to the data source. This information can be obtained from the administrator of the database to which you want to connect.


File data sources (also called DSN files) store connection information in a text file, not the Windows registry, and are generally more flexible to use than machine data sources. For example you can copy a file data source to any computer that has the correct ODBC driver so that your application can rely on consistent and accurate connection information to all the computers it uses. Or you can place the file data source on a single server, share it between many computers on the network, and easily maintain the connection information in one location.


In a module, you can define a formatted connect string that specifies connection information. A connect string passes the connection information directly to the ODBC Driver Manager, and it helps simplify your application by removing the requirement that a system administrator or user first create a DSN before you use the database.


We are all too familiar with the local administrator account that gets created automatically when installing a Windows computer. The local admin is all too powerful but restricted only to that local computer. The account offers complete control over files, folders, services, and local user permissions management. The local admins can install any software, modify or disable security settings, transfer data, and create any number of new local admins.


Many data engineers start off in entry-level roles, such as business intelligence analyst or database administrator. As you gain experience, you can pick up new skills and qualify for more advanced roles. See an example of a possible learning journey with this Data Engineering Career Learning Path from Coursera.


An organization needs to work with data which comes from different sources which can be in various file formats. The data should be extracted from a different source which can be from different servers or databases. This data is integrated into one standard format in a common staging area.


By adding new users to your account, you could easily collaborate with them. The Administrator has the complete control on who can access the views. The administrator can grant permission to perform operations such as add, modify and delete data, create new reports and share views within a group, apart from just viewing the shared reports. Shared users will be able to perform only the operation that the admin has granted.


To avoid this, we recommend using Zoho Databridge, a lightweight independent utility that bridges your data source and Zoho Analytics server to enable easy data import. This provides a hassle-free import of large CSV files. 350c69d7ab


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