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This is a Physical Item. Shipping from USA by USPS Priority.
The item is Authentic and Genuine item!
The listing offers a genuine license on a holographic product label
and a Certificate of Authenticity.
After Your purchase, You get your License sheet, as you see in the
images, with a genuine holographic Product key shipped to your address.
We can provide You invoices as well if needed.
LIFETIME WARRANTY & SUPPORT
This is the Retail Standard 24 Core License. This
license is an authentic Microsoft license, and can be used in
production environments. The license is unused, and comes on a license
sticker on a Certificate of Authenticity. The
Retail Core License comes with unlimited User CALs and can be installed
on one Physical or VM Server. The license can be moved to a new
installation if needed later on. Language: US-English.
Experience breakthrough performance with SQL Server 2017 features SQL
Server 2017 is the biggest leap forward in Microsoft data platform
history with features that increase performance, simplify management,
and transform your data into actionable insights—all on a database that
has the least vulnerabilities of any major platform.
Some of the new capabilities of SQL Server 2017: - Build intelligent, mission-critical applications
- Break free from Oracle
- Always Encrypted
- Real-time operational analytics
- In-database analytics
- PolyBase
- And much much more. Check on the Internet, it has hours of reading about SQL Server 2017.
Automatic
Tuning: While many database vendors have claimed to have self -tuning
databases in the past, Microsoft has built intelligence into a set of
self-tuning features in SQL Server 2017. Microsoft has learned a lot
from supporting Azure SQL Database and identifying customer performance
problems. Running a database service that services millions of databases
allows for deeper insight into how customers use the product, and where
their headaches are. They have taken that knowledge and combined it
with the Query Store, a feature introduced in SQL Server 2016, which
tracks query execution plans and runtime statistics. This allows the
database engine to identify queries that have regressed in performance,
and changed execution plans (the path the engine takes to get the
query's data). If the engine determines that a change in plan has
occurred, and the query has regressed in performance, the engine will
revert to a previous plan.
"If
it is 3 a.m. in the morning, Automatic Plan Correction helps mitigate
performance issues due to plan regression scenarios without manual
intervention," said Joe Sack, principle program manager at Microsoft.
"Then when you come in that next morning you can look at see what
happened and work on root cause analysis. " There a number of other
optimizations in space in SQL Server 2017, focused on making problematic
query operations go faster.
Graph
Database: One of my favorite features is the introduction of a graph
engine into SQL Server. Graph databases are commonly used to track
relationships or hierarchies, a place where relational databases have
struggled in terms of structure and performance. Graph databases are
implemented via nodes (or vertices) and edges (or relationships). For
example, you might say John is friends with Jane, and Jane is friends
with Becky. While there have been a number of small graph database
projects, many have not supported the SQL language, and integration with
other systems. By bringing graph into SQL Server 2017, users can take
advantage of native SQL, along with the new match operator to perform
graph queries.
Resumable
Online Index Rebuild: As someone who has been a database administrator
for way too long, this feature has tremendous appeal to me. Indexes get
fragmented as updates and deletes happen, and need to be reorganized and
rebuilt periodically. Performing these operations are very IO
intensive, and are commonly run during maintenance windows. However on
larger systems some operations may run beyond the window and have to be
aborted, or more frequently, simply aren't run. Resumable index rebuild
allows you to schedule fixed window for your maintenance operations (for
example, allocating three hours a night to index maintenance); or
simply pause and resume them manually. This feature will change the ways
DBAs perform database maintenance.
Everything
Else: Some of the other features included in this release are improved
performance for backups, more enhancements to the In-Memory OLTP feature
and integration of the popular Power Query tool with SQL Server
Analysis Services. Microsoft also released a very interesting
enhancement to its advanced analytics features by adding a predict
operator to the T-SQL programming area. This can be a very fast way to
perform analysis on a pre-existing R or Python model.
SQL Server 2017 Editions: SQL
Server 2017 is the biggest leap forward in the Microsoft data platform
history with real-time operational analytics, rich visualizations on
mobile devices, built-in advanced analytics, new advanced security
technology, and new hybrid cloud scenarios.
Enterprise Edition SQL
Server Enterprise delivers comprehensive datacenter capabilities for
mission-critical database, business intelligence, and advanced analytics
workloads.
Mission Critical Performance - Operating system max cores and memory
- Enhanced in-memory OLTP performance
- Operational analytics
- Enhanced AlwaysOn with no domain join
- Query Store
- Temporal
Security - Always Encrypted
- Row-level security
- Dynamic data masking
- Enhanced separation of duties
- Enhanced SQL Server auditing
- Transparent data encryption
- Policy-based management
Data Warehousing - Enhanced in-memory ColumnStore
- PolyBase in scale-out configuration (head and compute nodes)
- License rights to (the APS) MPP appliance
- Distributed query processing
- Support for JSON
Business Intelligence - End-to-end mobile BI on all major platforms
- Enhanced DirectQuery
- In-memory analytics
- Advanced data mining
- Advanced tabular
- Web portal experience (all reports in one place)
- Modernized reports
- Pin reports to Power BI
- Enhanced multidimensional models
Advanced Analytics - In database advanced analytics
- R integration with massive parallel processing for performance and scale
- Works with in-memory technology
- Run in database or standalone
- Connectivity to R Open
Hybrid Cloud - Stretch Database
- Enhanced backup to Azure
- Enhanced HA and DR with Azure – ease of use, no domain join (Windows Server 2016)
- SSIS integration with Azure Data Factory and Azure SQL Data Warehouse
Standard Edition SQL
Server Standard provides core data management and business intelligence
capabilities for non-critical workloads with minimal IT resources.
Mission Critical Performance - Disk-based OLTP
- 32 cores max and 128 GB max memory
- 2-node single database failover (non-readable secondary)
- Query Store
- Temporal
Security - Row-level security
- Dynamic data masking
- Basic auditing
- Separation of duties
- Policy-based management
Data Warehousing - PolyBase (compute node only)
- Support for JSON
Business Intelligence - Basic tabular (16GB memory per instance)
- Web portal experience
- Modernized reports
- Pin reports to Power BI
- Enhanced multidimensional models
Advanced Analytics - Single-threaded for RRE
- Connectivity to R Open
Hybrid Cloud - Stretch Database
- Backup to Azure
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