1.
What’s new in
SQL Server 2016
James Serra
Big Data Evangelist
Microsoft
JamesSerra3@gmail.com

2.
About Me
 Microsoft, Big Data Evangelist
 In IT for 30 years, worked on many BI and DW projects
 Worked as desktop/web/database developer, DBA, BI and DW architect and developer, MDM
architect, PDW/APS developer
 Been perm employee, contractor, consultant, business owner
 Presenter at PASS Business Analytics Conference, PASS Summit, Enterprise Data World conference
 Certifications: MCSE: Data Platform, Business Intelligence; MS: Architecting Microsoft Azure
Solutions, Design and Implement Big Data Analytics Solutions, Design and Implement Cloud Data
Platform Solutions
 Blog at JamesSerra.com
 Former SQL Server MVP
 Author of book “Reporting with Microsoft SQL Server 2012”

3.
SQL Server 2016 SP1: Everything built-in
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expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Most consistent experience from on-premises to cloud
Microsoft Tableau Oracle
$120
$480
$2,230
Self-service BI per user
In-memory across all workloads
built-inbuilt-in built-in built-in built-in
TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
at massive scale
0 1
4
0 0
3
0
34
29
22
15
5
22
16
6
43
20
69
18
49
74
3
0
10
20
30
40
50
60
70
80
2010 2011 2012 2013 2014 2015 2016
SQL Server Oracle MySQL2 SAP HANA TPC-H
Oracle
is #6#2
SQL Server
#1
SQL Server
#3
SQL Server
National Institute of Standards and Technology Comprehensive Vulnerability Database update 5/4/2015
1M
Predictions
per second

4.
Faster I/O, Networks, and Dense Core CPUs
Customer Experience, Benchmarks, XEvent, and xperf
Scalability Partitioning Parallelism
More and
Larger
Dynamic
Response
Improved
Algorithms

5.
Core Engine Scalability
Automatic Soft NUMA
Dynamic Memory Objects
SOS_RWLock
Fair and Balanced Scheduling
Parallel INSERT..SELECT
Parallel Redo
DBCC
DBCC Scalability
DBCC Extended Checks
TempDB
Goodbye Trace Flags
Setup and Automatic Configuration of Files
Optimistic Latching
I/O
Instant File Initialization is No Longer Hidden
Larger Data File Writes
Multiple Log Writers
Indirect Checkpoint Default Just Makes Sense
Log Stamping Pattern
Log I/O at the Speed of Memory
Spatial
Native Implementations
TVP and Index Improvements
Always On Availability
Groups
Turbocharged
Better Compression
AES-NI EncryptionFull blog series: http://aka.ms/sql2016faster

6.
ColumnStore Indexes – SQL Server 2012+
In-Memory OLTP – SQL Server 2014+
Significant upgrades in SQL 2016!

7.
Power of clustered columnstore index and new algorithms

8.
Enhancements of SQL Server 2016 can be split in3 major categories…

9.
Do more. Achieve more.
Mission critical platform Deeper Insights Hyperscale
In-Memory OLTP
Greater T-SQL surface area, terabytes of
memory supported, and higher number of
parallel CPUs
Query Store
A flight data recorder for your database
Always Encrypted
Sensitive data remains encrypted at all times,
with ability to query
Row-Level Security
Fine-grained access control for table rows
Dynamic data masking
Real-time obfuscation of data to prevent
unauthorized access
Enhanced Always On
Distributed Availability Groups, Basic
Availability Groups, Automatic Failover
Real-time operational analytics
Running of analytical workloads concurrently
with OLTP workloads
R Integration
Insights from data across SQL Server and
Hadoop with the simplicity of T-SQL
PolyBase
Insights from data across SQL Server and
Hadoop with the simplicity of T-SQL
Mobile BI/SSRS/SSAS
Mobile reports on SSRS with Mobile Report
Publisher. SSAS performance improvements
Temporal Tables, JSON
Track change history, integrate with modern
service easily
Stretch Database
Stretch operational tables in a secure manner
into Azure for cost-effective historic data
availability.
Enhanced backup to Azure
Faster restore times, 50% reduction in storage.
Larger DBs

10.
What’s new in SQL Server 2016 & SP1
Performance Security Data Marts and
OLAP cubes
Business
Intelligence
Advanced
Analytics
Hybrid
• 24 cores max and 128
GB max memory
• In-memory OLTP
• Operational
analytics*
• Basic High Availability
• Query Store
• Temporal
• Always Encrypted
• Row-level security
• Dynamic data
masking
• Fine-grained
auditing
• Partitioning
• Compression
• In-memory
ColumnStore*
• Change data capture
• Data snapshot
• PolyBase
• JSON support
• Basic tabular (16GB
memory per instance)
• Modernized reports
• Pin report to Power BI
• Enhanced multi-
dimensional models
• Direct query of
indexed views
• Single-threaded
for RRE
• Connectivity to R
Open
• Stretch Database
• Backup to Azure
enhancements
• In-memory OLTP
• Operational
analytics**
• Always Encrypted
• Row-level security
• Dynamic data
masking
• Fine-grained
auditing
• Partitioning
• Compression
• In-memory
ColumnStore**
• Data snapshot
• PolyBase
• JSON support
• Modernized reports • Stretch Database
• Backup to Azure
ExpressStandard
24Cores,128GBmemory1GBmemory,max10GB
Bold items are newly available in these editions in SQL Server 2016 SP1
* Standard Edition: In-memory columnstore and Operational Analytics limited to 32 GB of memory and 2 parallel cores
** Express Edition: In-memory columnstore and Operational Analytics limited to 256 MB of memory and 1 core

11.
Do more. Achieve more.

12.
ALTER TABLE Sales.SalesOrderDetail
ALTER INDEX PK_SalesOrderID
REBUILD
WITH (BUCKET_COUNT=100000000)
T-SQL surface area: New
{LEFT|RIGHT} OUTER JOIN
Disjunction (OR, NOT)
UNION [ALL]
SELECT DISTINCT
Subqueries (EXISTS, IN, scalar)
ALTER support
Full schema change support: add/alter/drop
column/constraint
Add/drop index supported
Surface area improvements
Almost full T-SQL coverage including scaler user-defined
functions
Improved scaling
Increased size allowed for durable tables; more sockets
Other improvements
MARS support
Lightweight migration reports

13.
Optimizing query performance and costs
Query Store = flight data recorder for databases
Built-in query monitoring
• Negligible perf & storage overhead
• Survives failover, memory pressure, …
• Data ready when that incident happens
T-SQL interface and SSMS UX
Top insights into your workload
• Query and resource stats
• Query plans
Developer
App User
Azure
application On-premise
Developer needs to find and fix
the underlying problem, ASAP
Customer reports the issue
(app is slow/unresponsive)

14.
trust boundary
"SELECT Name FROM Customers
WHERE SSN = @SSN","111-22-3333"
Always Encrypted
Protect data at rest and in motion, on-premises and in the cloud
Name
Wayne Jefferson
ADO .NET
Name
0x19ca706fbd9a
Result SetResult Set
Client
Name SSN Country
0x19ca706fbd9a 0x7ff654ae6d USA
SQL Server or SQL Database
"SELECT Name FROM Customers
WHERE SSN = @SSN",0x7ff654ae6d
ciphertext
Encrypted sensitive data and corresponding keys
are never seen in plaintext in SQL Server
dbo.Customers
ciphertext
Security

15.
Fine-grained access control over specific rows in a
database table
Help prevent unauthorized access when multiple users
share the same tables, or to implement connection
filtering in multitenant applications
Administer via SQL Server Management Studio or SQL
Server Data Tools
Enforcement logic inside the database and schema
bound to the table.
Protect data privacy by ensuring the right access across rows
SQL Database
Customer 1
Customer 2
Customer 3
Row-level security

16.
Configuration made easy in the new Azure
portal
Policy-driven at the table and column level, for
a defined set of users
Data masking applied in real-time to query
results based on policy
Multiple masking functions available (e.g. full,
partial) for various sensitive data categories
(e.g. Credit Card Numbers, SSN, etc.)
SQL Database
SQL Server 2016 CTP2
Table.CreditCardNo
4465-6571-7868-5796
4468-7746-3848-1978
4484-5434-6858-6550
Real-time data masking;
partial masking
Dynamic Data Masking
Prevent the abuse of sensitive data by hiding it from users

17.
Audit success/failure of
database operations
Enhanced auditing for
OLTP with ability to track
history of record
changes
Transparent Data
Encryption support for
storage of In-memory
OLTP Tables
Backup encryption now
supported with
compression
Other security enhancements

18.
Greater scalability:
Load balancing readable secondaries
Increased number of auto-failover targets
Log transport performance
Improved manageability:
DTC support
Database-level health monitoring
Group managed service account
AG_Listener
New York
(Primary)
Asynchronous data
Movement
Synchronous data
Movement
Unified HA Solution
Enhanced AlwaysOn Availability Groups
AG
Hong Kong
(Secondary)
AG
New Jersey
(Secondary)
AG

19.
Do more. Achieve more.

20.
0100101010110 SQL Server
OLTP
SQL Server
data warehouse
ETL
In-memory
ColumnStore
In-memory
OLTP
Real-time fraud
detection
Operational analytics
Single system for OLTP and real-time analytics
Fraud detected
2-24
hrs

21.
Data Scientist
Interact directly with data
Built-in to SQL Server
Data Developer/DBA
Manage data and
analytics together
Built-in advanced analytics
Running R algorithms at massive data scale
Example Solutions
• Salesforecasting
• Warehouse efficiency
• Predictive maintenance
Relational Data
Analytic Library
T-SQL Interface
Extensibility
?
R
RIntegration
010010
100100
010101
Microsoft Azure
Marketplace
New R scripts
010010
100100
010101
010010
100100
010101
010010
100100
010101
010010
100100
010101
010010
100100
010101
• Credit risk protection

22.
PolyBase
Query relational and non-relational data with T-SQL
T-SQL query
SQL Server Hadoop
Quote:
************************
**********************
*********************
**********************
***********************
$658.39
Jim Gray
Name
11/13/58
DOB
WA
State
Ann Smith 04/29/76 ME

23.
Paginated reports
Design beautiful documents using updated
tools and new features
Mobile reports
Create responsive, interactive reports optimized
for mobile devices
Modern web portal
Consume both types of reports in one web
portal using modern browsers
SQL Server Reporting Services

24.
Scale your tabular
models with support
for high end servers
More memory
More cores
Enhanced Analysis Services
Deliver high performance and scalability for your BI solutions
High-end server hardware
Capability
Parallel partition processing
NUMA optimization for tabular models
On-demand loading and paging
Tabular and MOLAP modeling enhancements
Benefits

25.
Time TravelData Audit
Slowly Changing
Dimensions
Row-level error
correction

26.
• Interchange data with apps
and services
• Exploit agility of NoSQL to
easily extend your app
SQL Server
Web app, service

27.
Do more. Achieve more.

28.
Order history
Name SSN Date
Jane Doe cm61ba906fd 2/28/2005
Jim Gray ox7ff654ae6d 3/18/2005
John Smith i2y36cg776rg 4/10/2005
Bill Brown nx290pldo90l 4/27/2005
Sue Daniels ypo85ba616rj 5/12/2005
Sarah Jones bns51ra806fd 5/22/2005
Jake Marks mci12hh906fj 6/07/2005
Order history
Name SSN Date
Jane Doe cm61ba906fd 2/28/2005
Jim Gray ox7ff654ae6d 3/18/2005
John Smith i2y36cg776rg 4/10/2005
Bill Brown nx290pldo90l 4/27/2005
Customer data
Product data
Order History
Stretch to cloud
Stretch SQL Server into Azure (Stretch DB)
Stretch cold data to Azure with remote query processing
App
Query
Microsoft Azure

Jim Gray ox7ff654ae6d 3/18/2005

29.
Managed backup
Granular control of the backup
schedule
Local staging support for faster
recovery and resilient to transient
network issues
Support for system databases
Support simple recovery mode
Backup to Azure block blobs
Cost savings on storage
Significantly improved restore
performance
More granular control over Azure
storage
Maximum backup size 12TB
Azure Storage snapshot
backup
Fastest method for creating
backups and running restores
Uses SQL Server db files on Azure
Blob Storage
Enhanced backup to Azure

30.
Easy with SQL Server migration assistants
SSMA for Oracle
SSMA for Sybase
SSMA for DB2
SSMA for MySQL
SSMA for Access

31.
Enterprise
Highly available mission-critical apps,
enterprise-scale data warehousing,
end-to-end mobile BI and advanced analytics
Licensing changes in 2016
More built-in to what you are already buying
Enterprise
Mission critical apps, large-scale data warehousing
Business Intelligence
Premium corporate and self-service BI
Standard
Basic database, reporting and analytics
Express
Easy to get started—free to use
SQL Server 2014 SQL Server 2016 SP1
Standard
Fully-featured database for modern,
mid-tier applications and data marts
Express
Lightweight applications—free to use
Developer
Fully-featured SQL Server
Developer
For non production workloads. Now free to use —get it at Dev
Essentials

32.
SQL Server 2016 Service Pack 1
Only data solution to
encrypt your data at
rest and in motion
Connect your
relational data to
big data with PolyBase
Real-time operational
analytics without
impacting performance
Faster transactions,
faster queries with
In-memory*
Unparalleled choice
for developer tools
and languages
1 T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
Advanced featured across editions
Making innovation more accessible to all applications
Delivers common programming surface across editions—no application re-write

33.
Standard Enterprise
Maximum number of cores New 24 cores Unlimited
Maximum memory utilized per instance 128 GB OS Max
Maximum size 524 PB 524 PB
Basic high availability (2-node single database failover, non-readable secondary) New  
Enterprise data management (Master Data Services, Data Quality Services) 
Advanced OLTP (In-memory OLTP, Operational analytics*) New  
Advanced HA (Always On - multi-node, multi-db failover, readable secondaries) 
Security (Always Encrypted, row-level security, data masking, basic auditing, separation of duties) New  
Transparent Data Encryption 
Fuzzy grouping and look ups 
Data warehousing (In-Memory ColumnStore*, partitioning, data compression, change data capture,
database snapshot)
New  
Basic data integration (SSIS, built-in connectors)  
Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model) New  
Mobile BI (Datazen) New 
Advanced Corporate Business Intelligence (Advanced tabular model, Direct query,
in-memory analytics, advanced data mining)
New 
Basic “R” integration (Connectivity to R Open, Limited parallelism for RRE) New  
Advanced “R” integration (Full parallelism for RRE) New 
Stretch Database New  
Programmability (T-SQL, CLR, Service Broker, JSON, XML) New  
SQL Server 2016 SP1 features by edition
*Memory core and limitations for SE and Exp Features in blue are newly available in Standard and Express since SQL Server 2016 SP1

34.
SSIS improvements for SQL Server 2016
CTP2
AlwaysOn support
Incremental deployment of
packages
Improved project upgrade support
CTP3
Designer improvements
One designer multi-version support
OData V4 support
Power Query as a data source
AlwaysOn
Availability Groups
Secondary for
SSISDB
New York
(Primary)
New Jersey
(Secondary)
SSIS
DB
SSIS
DB
SQL Server 2012
SSIS Project X
SQL Server 2016
SSIS Project X
Improved project
upgrade

35.
Performance and Scale
Overall performance and scale
improvements
Target of 15x performance
improvement for Excel add-in
Increased performance for bulk
entity based staging operations
Security Improvements
New security roles for more
granular permissions around read,
write and delete
Multiple system administrators
Manageability and Modeling
Archival of Transaction Logs
Reuse of entities across models
Support for compound keys
Allow the Name and Code attributes
to be renamed
MDS Improvements

36.
Supports caching data with automatic, multiple TempDB
files per instance in multi-core environments
Reduces metadata and allocation contention for TempDB
workloads, improving performance and scalability
Enhanced database caching

37.
Enhanced support for Windows Server
Hardware Acceleration for TDE Encryption/Decryption
Parallelizing the Decryption Built-in Function to Improve Read Performance
Results in dramatically better response times for queries with encrypted data columns

38.
SQL Server
2008
SQL Server
2008 R2
SQL Server
2000XML ● KPIs
Compression ● Policy-Based Mgmt ● Programmability
PowerPivot ● SharePoint Integration ● Master Data Services
SQL Server
2012
AlwaysOn ● ColumnStore Index ● Data Quality Services ● Power View ● Cloud Connectivity
SQL Server
2014
In-Memory Across Workloads ● Performance & Scale ● Hybrid Cloud Optimized ● HDInsight ● Cloud BI
Management Studio ● Mirroring
SQL Server
2005
SQL Server
2016
Enhanced Always On ● In-Memory OLTP ● Stretch DB ● Temporal Tables ● Enhanced Backup to Cloud ● Polybase ● Real-Time
Operational Analytics ● Row-Level Security ● Query Store ● R Services● Always Encrypted ● Mobile BI
The evolution of Microsoft SQL Server

39.
SQL Server 2016 SP1 Enterprise
Enterprise
Enterprise includes all Standard features.
• End-to-end mobile
BI on all major
platforms
• Enhanced direct
query
• In-memory
analytics
• Advanced data
mining
• Advanced tabular
• Web portal
experience (all
reports in 1 place)
• Modernized reports
• Pin report to Power
BI
• Enhanced multi-
dimensional
models
• Enhanced in-
memory
ColumnStore
• PolyBase in scale-
out configuration
(head and compute
nodes)
• Deployment rights
for APS
• Distributed query
processing
• Support for JSON
• Always Encrypted
• Row-level security
• Dynamic data
masking
• Enhanced
separation of duties
• Enhanced SQL
Server auditing
• Transparent data
encryption
• OS max cores and
memory
• Enhanced in-
memory OLTP
performance
• Operational
analytics
• Enhanced
AlwaysOn with no
domain join (WS
2016)
• Query Store
• Temporal
• 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
• Stretch
Database
• Enhanced
backup
to Azure
• Enhanced HA
and DR with
Azure – ease of
use, no domain
join (WS2016)
• SSIS integration
with Azure Data
Factory and
Azure SQL Data
Warehouse
• Direct query of indexed
views
• Multiple filestream
containers
• Service broker

40.
SQL Server 2016 SP1 Standard
• Basic tabular
(16GB memory
per instance)
• Modernized reports
• Pin report to
Power BI
• Enhanced multi-
dimensional models
• PolyBase
(compute node
only)
• Support for
JSON
• Database
Snapshot
• Partitioning
• Compression
• In-memory
ColumnStore*
• Change data
capture
• Always Encrypted
• Row-level security
• Dynamic data
masking
• Basic auditing
• Separation of duties
• InMemory OLTP
• Operational
analytics
• 24 cores max and
128 GB max
memory
• 2-node single
database failover
(non-readable
secondary)
• Query Store
• Temporal
• Single-threaded
for RRE
• Connectivity to
R Open
Standard
• Stretch
Database
• Enhanced
backup
to Azure
• Direct query of indexed
views
• Multiple filestream
containers
• Service broker
*In-memory columnstore and Operational Analytics limited to 32 GB of memory and 2 parallel cores

41.
What’s new in SQL Server 2016 since 2014
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
JSON support
Enhanced DQS
Enhanced MDS
Enhanced Reporting Services
Temporal tables
In-memory analytics
Advanced data mining
Access to reports online or offline
Create mobile reports using the
SQL Server Mobile Report
Publisher
Consume with Power BI mobile
apps
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore
for DW
PolyBase for simple T-SQL
to query structured and
unstructured data
Enhanced database caching
Up to 15,000 partitions
Transparent Data Encryption
Always Encrypted
Real-time operational analytics
with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with
Windows Server 2016, with 12TB
memory and Windows Server
2016 max cores
Multiple node failover clustering
(3 synchronous, up to 8 replicas)
SQL Server Development Tools in
Visual Studio
Query Store
Temporal support
R built-in to your T-SQL
RRE APIs with full parallelism and
no memory limits for
scale/performance
Built-in In-memory Advanced
Analytics
Advanced tabular model
Direct query
Advanced data mining
Stretch database
Partitioning for efficient
data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn
replicas

42.
What’s new in SQL Server 2016 since 2012
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
Enhanced multidimensional
models
JSON support
Enhanced DQS
Enhanced MDS
Enhanced Reporting Services
Temporal tables
In-memory analytics
Advanced data mining
Create mobile reports using the
SQL Server Mobile Report
Publisher
Consume with Power BI mobile
apps on all major platforms
Azure HDInsight Service
Pin report items to Power BI
Power Map for Excel
Mobile BI interfaces for Power BI
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore
for DW
PolyBase for simple T-SQL to query
structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System
Transparent Data Encryption
Always Encrypted
Enhanced separation of duties
CC certification at High Assurance
Level for 2014
Backup encryption support
Real-time operational analytics
with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with
Windows Server 2016, with 12TB
memory and Windows Server 2016
max cores
Enhanced AlwaysOn, with 8
secondaries and Replica Wizard
Multiple node failover clustering (3
synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO
governance
SysPrep as cluster level
Predictable performance with
tiering of compute, network and
story with Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support,
VHDX support (Windows Server
2012 R2)
Manage on-premises and cloud
apps (System Center 2012 R2)
Query optimization enhancements
Query Store
Temporal support
R built-in to your T-SQL
RRE APIs with full parallelism and
no memory limits for
scale/performance
Built-in In-memory Advanced
Analytics
Advanced tabular model
Direct query
Advanced data mining
Stretch database
Partitioning for efficient
data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn
replicas
Simplified backup to Azure
Support for backup of previous
versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery
with AlwaysOn replicas in Azure
VMs
New Azure Deployment UI for SQL
Server
Larger SQL Server VMs and
memory sizes available in Azure

43.
Enhanced productivity and performance
Power View
Configurable reporting alerts
Reporting as SharePoint Shared Service
Build organization knowledge base
Connect to 3rd party data cleansing
providers
Master Data Hub
Master Data Services Add-in for Excel
Graphical tools in SSIS
Extensible object model
SSIS as a Server
Broader data integration with more
sources: DB vendors, cloud, Hadoop
Pipeline improvements
SQL Server Data Tools
Local DB runtime (Express)
Data-tier application component project
template
Data-Tier Application Framework (DAC Fx)
Interoperability support (ADO.NET,
ODBC, JDBC, PDO, ADO APIs and .NET
C/C++, Java, Linux and PHP platforms)
Enhanced support for ANSI SQL
standards
Transact-SQL Static Code Analysis tools
Transact-SQL code snippets
Intellisense
FileTable build on FILESTREAM
Remote Blob Storage with SharePoint
2010
Statistical Semantic Search
Spatial features, include Full Globe and
arcs
Large user-defined data types
Distributed Replay
Contained Database Authentication
System Center Management Pack
for SQL Server 2012
Windows PowerShell 2.0 support
Multi-server Management with SQL
Server Utility Control Point
Data Tier Application Component
What’s new in SQL Server 2016 since 2008 R2
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
In-memory analytics
Enhanced multidimensional models
JSON support
Enhanced DQS
Enhanced MDS
Modern Reporting Services
Temporal tables
Advanced data mining
Create mobile reports using the SQL
Server Mobile Report Publisher
Consume with Power BI mobile apps
Azure HDInsight Service
Power BI
Power Map for Excel
Mash up data from different sources,
such as Oracle & Hadoop
HA for StreamInsight, complex event
processing
SQL Server Data Tools support for BI
Change Data Capture for Oracle
Import PowerPivot models into Analysis
Services
Transparent Data Encryption
Always Encrypted
Enhanced separation of duty
CC certification at High Assurance Level
for 2014
Backup encryption support
Enhanced separation of duties
Default schema for groups
SQL Server Audit
SQL Server fine-grained auditing
Real-time operational analytics with
in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows
Server 2016, with 12TB memory and
Windows Server 2016 max cores
Enhanced AlwaysOn, with 8 secondaries
and Replica Wizard
Multiple node failover clustering (3
synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO governance
SysPrep as cluster level
Predictable performance with tiering of
compute, network and story with
Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support, VHDX
support (Windows Server 2012 R2)
Manage on-premises and cloud apps
(System Center 2012 R2)
Query optimization enhancements
Recovery Advisor
Windows Server Core
Live Migration
Online operations enhancements
Query Store
Temporal support
R built-in to your T-SQL
RRE APIs with full parallelism and no
memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
SSDT in Visual Studio
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn
replicas
Simplified backup to Azure
Support for backup of previous
versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery with
AlwaysOn replicas in Azure VMs
New Azure Deployment UI for SQL
Server
Larger SQL Server VMs and memory
sizes available in Azure
DAC enhancements: Import/export with
Azure SQL Database
SQL Server Data Tools
License Monthly (with SA)
Resource Governor enhancements
Snapshot backups to Azure via SQL
Server Management Studio
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore
for DW
PolyBase for simple T-SQL to query
structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System

44.
Consistent experience is everything

45.
Q & A ?
James Serra, Big Data Evangelist
Email me at: JamesSerra3@gmail.com
Follow me at: @JamesSerra
Link to me at: www.linkedin.com/in/JamesSerra
Visit my blog at: JamesSerra.com (where this slide deck is posted under the “Presentations” tab)