Microsoft SQL Server 2017 Standard

What's new in SQL Server 2017

SQL Server 2017 represents an important step in making SQL Server a platform on which you have several choices: choose between different development languages ​​and data types, between running locally or in the cloud, and between different operating systems by increasing the power of SQL Server is deployed for Linux, Linux-based Docker containers and Windows.

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 backing up data. The database engine enables controlled access and fast transaction processing to meet the needs of the most demanding data processing applications in your company.Use the database engine to create relational databases for OLTP (Online Transactional Processing) or OLAP (Online Analytical Processing, analytical online processing). This includes creating tables for data storage and database objects such as Use tools such as indexes, views, and stored procedures to view, manage, and secure data. Use SQL Server Management Studio to manage the database objects and SQL Server Profiler to record server events.

The Analysis Services

Analysis Services is an analytical data engine in Decision Support and Business Analytics that provides analytical data for business reports and client applications such as Excel, Power BI used by the Reporting Services reports and other data visualization tools. A typical workflow involves creating a multidimensional/tabular data model and deploying the model as a database using a local SQL Server Analysis Service or Azure Analysis Service server instance. Likewise, recurring data processing can be set up and authorizations for accessing data can be distributed by end users. When complete, your semantic data model can be consumed as a data source by any client application supported by Analysis Services. Analysis Services is now available in the cloud and as an Azure service. Azure Analysis Services supports tabular models at compatibility level 1200 or higher. DirectQuery, partitions, row-level security, bidirectional relationships, and translations are supported.

SQL Server Integration Services

Microsoft Integration Services is a platform for building enterprise-level data integration and data transformation solutions. 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 and mining data, and managing SQL Server objects and data . The packages can be used alone or in conjunction with other packages to meet complex business needs. Integration Services can collect data from a variety of sources, such as Extract and transform data such as XML data files, flat files, and relational data sources, and then load the data into one or more targets. Integration Services includes a variety of built-in tasks and transformations, tools to create packages, and the Integration Services service to run and manage of packages. You can use the Integration Services graphical tools to create solutions without writing a single line of code. Or you can program the rich Integration Services object model to create packages programmatically and code custom tasks and other package objects.

System requirements:

operating system	At least Windows 8, Windows Server 2012
Processor:	At least 1.4GHz
R.A.M:	At least 1GB
Disk space:	At least 6GB
Graphic card:	Super VGA card, minimum resolution 800 x 600

Below you will find all information about shipping and payment conditions:

prices

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Shipment

Delivery of download products:

Delivery is exclusively digital via email. This is therefore free of charge to each of the countries we specify.

Delivery of physical products:

Delivery takes place within 1 - 4 working days. We only offer physical products for Germany, Austria and Switzerland.

Shipping costs:

• Germany: 4.99€
• Austria: 7.20€
• Switzerland: 7.20€

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Further details on payment

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