|Product Name:||Microsoft SQL Server 2017 Enterprise||Language:||Multi-language|
|Applicable To:||Windows Sever R2, Windows Server 2012, Windows Server 2012 R2, Windows Server 2016, Windows Server 2019||RAM:||512 MB|
|Hard Drive:||≥ 6 GB||Monitor:||800x600 Or Higher Resolution|
|Pointing Device:||Microsoft Mouse Or Compatible Pointing Device||Processor:||X64 Processor: 1.4 GHz|
sql server product key,
sql server serial number
Enterprise Edition SQL Server Serial Number , SQL Server 2017 License Key RAM 512 MB
This section explores the integration of Graph database components in SQL Server 2017. The pointer at the end of this section includes a working data set of relational and graph databases, and data models. In addition, it explains how to integrate graph databases with relational databases and how to convert the relational tuples into a graph data set.
A key concept of graph databases are edges and nodes. The relationships allow entities to be linked together directly, and in many cases retrieved with one operation. In some cases, due to stringent data modeling design, the relational data model may not be a good fit as it incurs costly join operations. In the past, the lack of viable alternatives and the lack of support made the graph model a difficult alternative, but that is no more the case.
We’ll also look at the integration of graph database support to help model many-to-many relationships as nodes and edges, rather than with the traditional relational model. The footprint of the graph database technology in the IT industry is clearly visible today, and for good reasons such as adding efficiency to social recommendations, IT network analysis, fraud detection, product recommendation, and so on.