|Place of Origin:||China|
|Model Number:||SQL Server 2017|
|Minimum Order Quantity:||1|
|Delivery Time:||24 hour|
|Payment Terms:||Western Union, D/P, D/A, L/C, T/T, MoneyGram|
|Platform:||Windows||License Category:||Business / Corporate|
|Product Status:||Stock||Language:||Multi Language|
Microsoft SQL Server 2017 Standard,
Unlimited SQL Server 2017 Standard,
Multi Language SQL Server 2017 Standard
Microsoft SQL Server 2017 Standard License Unlimited Use High Quality
1. Companies can store and manage smarter data
SQL Server 2017 has changed the way we view data. In fact, the new features of the platform will enable data scientists and companies to retrieve different algorithms to apply and view the data that has been processed and analyzed when interacting through data.
Microsoft integrates its AI functions with the next-generation SQL Server engine to enable smarter data transmission.
2. Provide more flexibility across platforms
SQL Server 2017 is now a large-scale Linux store, or you only need to use SQL Server on the Mac for database engine development. The new generation of SQL Server can support it. It can now be fully run, fully installed, or run on Linux. On macOS's Docker container. The cross-platform support of SQL Server will provide many companies using non-Windows operating systems with opportunities to deploy database engines.
3. Advanced machine learning functions
SQL Server 2017 supports Python, and companies that want to take advantage of the advanced features of machine learning can use Python and R languages. (Translator's Note: SQL Server users can download and install the standard open source Python interpreter version 3.5 and some common Python packages during the installation process. Microsoft only supports the interpreter version 3.5. According to Microsoft, the choice of this version is to avoid newer versions There are some compatibility issues in the Python interpreter.)
This provides data scientists with the opportunity to utilize all existing algorithm libraries or create new algorithm libraries in new systems. Integration is very valuable, so that companies do not need to support multiple tool sets in order to accomplish their advanced analysis goals through data.
4. Enhance the security of the data layer
In the new version of SQL Server, enterprises can directly add new and enhanced data protection functions to the data layer. Row-level security control, always encryption, and dynamic data shielding already exist in SQL Server 2016, but many tools have been improved, including companies that can ensure not only the row level, but also the column level.
5. Improved BI analysis capabilities
Analysis services have also improved. Companies often use these services to process large amounts of data. Some new features include new data connection function, data conversion function, mashup of Power Query formula language, enhanced support for Ragged Hierarchies in data, and improved time relationship analysis of the used date/time dimension .
Enterprise customers recognize that strategies around BI and gaining insights through data require substantial investment in advanced analytical data platforms. The process of acquiring data, managing it, applying advanced predictive algorithms and visualizing its data is too long and complicated.
Therefore, an integrated solution similar to the one highlighted by Microsoft in SQL Server 2017 may be a good case that can ultimately improve and simplify the process of obtaining results from data without being too complicated.
Contact Person: David