What's New in SQL Server 2016

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Check this out. Below is the summary of SQL Server 2016 new features. 

1       Query Store
a)     It contains query work load history.
b)    It can enforce polices to direct SQL Server Query processor to execute in a specific     manner
c)      Captures queries, query plans, runtime statistics, etc.
d)      New system views are added to support Query store
e)      Helps system-wide or database level performance analysis and troubleshooting

2      Column Store
a)      Column store index on your in-memory table for higher throughput
b)     Columnstore indexes achieve up to 10x greater data compression than row store indexes. This greatly reduces the IO required to execute analytics queries and therefore improves query performance

3      Live Query Statistics
a)      Live Query plans with system resources consumption such as CPU and memory for all running queries in the plan
b)      It helps you watch change of statistics during query execution
c)      You can drill down further into live running queries from its query plan  

4      Row Level Security
a)     Security can be defined on a complete row based on the characteristics of the user    executing a query (e.g. group membership or execution context)

5      Always Encrypted
a)      Encrypted data at rest and in motion
b)      Encryption master key resides at Application
c)      No application change required (Simple SSIS Package convergence)


6      Native JSON Support
a)      Language - Independent data-interchange format
b)      Modern Web and Mobile Applications are using it
c)      Alternate XML
d)      Parsing done via Standard JavaScript function
e)      Easier and faster than XML parsing
f)       Several new T-SQL constructs introduced to facilitate JSON

7      Temporal Database support
a)      Keep track data in the database (Current and historical)
b)      Provides ability to query the table snapshot for any point in time
c)      Data can be restored to any known state without downtime
d)      Help regulate compliance and audit
e)      Help implementing slowly changing dimension

8      Polybase
a) Querying relational and non-relational data
b) Example: SQL + Hadoop  (With the help of external table)

9      Advance Analytics
a)      Data Scientists can get model or templates from MS Azure where others are sharing and    
hook it up with their real time data for data examining
  

10    BI on Mobile Devices
a)      All BI on Mobile: New – DataZen App
  •   Windows
  •   IOS
  •   Android
  •   HTML5


11    Data Stretch to MS Azure
a)      Stretch the data to the cloud 
  •      Remote data archive (DBA)
  •      Power BI Scenarios with SSIS 
  •     Stretch tables into Azure

b)      Enhanced Backup/restore for stretched databases

12   SSDT (All in One)

Comments

  1. atalnetworksNovember 3, 2020 at 2:30 AM

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    ReplyDelete
  2. ActiveServersJuly 7, 2021 at 3:39 AM

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