Microsoft SQL Server 2017 Standard

What's new in SQL Server 2017

SQL Server 2017 represents a major step forward in making SQL Server a platform on which you can choose from a variety of options: choose between different development languages and data types, run on-premises or in the cloud and choose your way through Extending between different operating systems the functionality of SQL servers for Linux, Linux-based Docker containers and Windows deployments.

SQL Server 2017 Database Engine

SQL Server 2017 includes many new database engine features, enhancements, and performance improvements. The database engine is the core service for storing, processing and securing data. The database engine enables controlled access and fast transaction processing to meet the needs of your organization's most demanding data processing applications. Build a relational database using an OLTP (Online Transaction Processing) or OLAP (Online Analytical Processing, Analytical Online Processing) database engine. This includes creating tables for data storage and database objects such as For example, using tools such as indexes, views, and stored procedures to view, manage, and protect data. Use SQL Server Management Studio to manage database objects and SQL Server Profiler to log server events.

The Analysis Services

Analysis Services is an analytical data module in Decision Support and Business Analytics that provides analytical data for business reports and client applications such as Excel, Power BI, which are used by the Reporting Services reports and other data visualization tools. A typical workflow involves creating a multi-dimensional / tabular data model and deploying the model as a database with a local SQL Server Analysis Service or Azure Analysis Service server instance. You can also set up periodic data processing and distribute access permissions to data from end users. When completed, your semantic data model can be claimed as a data source by all client applications supported by Analysis Services. Analysis Services is now available in the cloud and as an Azure service. Azure Analysis Services supports tabular models with compatibility level 1200 or higher. DirectQuery, partitions, row-level security, bi-directional relationships, and translations are
supported.

SQL Server Integration Services

Microsoft Integration Services is a platform for building data integration and data transformation solutions at the enterprise level. You use Integration Services to solve complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning up data and data mining, and managing SQL Server objects and data , The packages can be used alone or with other packages to meet complex business needs. Integration Services can retrieve data from a variety of sources, such as For example, XML data files, flat files, and relational data sources extract and transform and then load the data into one or more destinations. Integration Services includes a variety of built-in tasks and transformations, package building tools, and the Integration Services service to run and manage of packages. You can use the Graphical Integration Services tools to build solutions without having to write a single line of code. Or you can program the large Integration Services object model to programmatically create packages and code custom tasks and other package objects.


System Requirements:

Operating system: from Windows 8, from Windows Server 2012, Linux and more
Processor: at least 1.4 GHz x64 processor (2.0 GHz recommended)
Memory: at least 1 GB (4 GB recommended)
Hard disk space: 6 GB
Graphics card: Super VGA card, minimum resolution 800 x 600 px

 

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