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|Name:||SQL Server 2019 / 2016 Standard||Feature:||Simplify , Customize|
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SQL Server 2019 Standard License Key,
SQL Server Std 2019 DVD,
Original SQL Server Std 2019
Original SQL Sever 2019 Standard License Key SQL Sever 2019 Std DVD Full Package
SQL Server 2019 is an excellent database software. Users can use this tool to build a powerful database system, call the software data and corresponding functions, which is convenient for users to use; it can help users more conveniently manage and apply data , Get high-performance help, better work and task arrangement!
SQL Server 2019 System Requirements:
AMD or Intel-based x64 Processors (AMD Opteron, Phenom, AMD Athlon 64, Intel Xeon with native EM64T support
1 GB system memory (Standard & Enterprise) or 512 MB for Express Edition. Recommended is 4 GB or more.
CPU Clock Speed: x64 1.4 GHz or more. 2.0 GHz is recommended.
Data Quality Services requires an additional 2 GB of system memory to operate optimally.
WoW, mode to run 32 Bit apps is not supported for SQL Server core services like the DB Engine. Can run Apps such as Management Studio in WoW.
Big data cluster
sqlserver2019 makes it easier to manage big data environments. It provides the key elements of the data lake-hadoopdistributedfilesystem (hdfs), spark and analysis tools-deeply integrated with sqlserver and fully supported by microsoft. Easy deployment using linux containers on the cluster managed by kubernetes.
Mission-critical availability-high availability
Enhanced usability, including automatic redirection of connections to the main server based on read/write intent.
You can use kubernetes' alwaysonavailabilitygroups to enable the sqlserver high availability configuration running in the container.
The resumable online index supports the creation operation and includes the default value of the database scope.
Performance improvement-smart database
The series of intelligent query processing functions are based on the adaptive query processing in sqlserver2017, including row mode memory feedback, approximate countdistinct, batch mode on row storage, and delayed compilation of table variables.
After upgrading to SQL Server 2019, users can transfer all big data workloads to SQL Server. Before SQL Server 2019, users will manage their big data workloads in Hadoop based on prem platforms such as Cloudera and Map R. Now they can bring all existing big data workloads to SQL Server 2019.
Another key scenario for users is the ability to query external databases using data virtualization features. Using the built-in connector, users can directly query (Oracle, Mongo DB, Teradata, Azure Data Lake, HDFS) without moving or copying data.
Users only need to upgrade to SQL Server 2019, without any application changes, to achieve huge performance improvements, with intelligent query processing, accelerated database recovery and other functions.
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