The document discusses new features and enhancements in SQL Server 2016, focusing on areas such as performance, security, and high availability. Key improvements include support for in-memory OLTP, enhanced auditing, always encrypted capabilities, and integration with Azure and Hadoop. The document also highlights upcoming events and opportunities for community involvement within the SQL PASS initiative.

1. SQL Server 2016 New Features
22 de Julio 2015 (12 pm GMT -5)
Percy Reyes
Resumen:
En esta sesión revisamos las nuevas mejoras y funcionalidades que
estarán implementadas en la siguiente versión de SQL Server
principalmente en Seguridad, Rendimiento y Alta Disponibilidad.
Está por comenzar: Próximos Eventos
Moderador: Jose Luis Rivera
Excel Power Pivot como
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29 de Julio
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Visualización. Mejorando las
respuestas a las preguntas de
Negocio
05 de Agosto
Salvador Ramos
Sincronizando Azure Search con
SQL Server
12 de Agosto
David Sánchez

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6. SQL Server 2016 New Features
22 de Julio de 2015
Percy Reyes
Microsoft SQL Server MVP
Twitter @percyreyes
Moderador: Jose Luis Rivera

7. Performance Security Availability Scalability
Operational analytics
Insights on operational data; Works
with in-memory OLTP and disk-based
OLTP
In-memory OLTP enhancements
Greater T-SQL surface area, terabytes
of memory supported, and greater
number of parallel CPUs
Query data store
Monitor and optimize query plans
Native JSON
Expanded support for JSON data
Temporal database support
Query data as points in time
Always encrypted
Sensitive data remains encrypted at all
times with ability to query
Row-level security
Apply fine-grained access control to
table rows
Dynamic data masking
Real-time obfuscation of data to
prevent unauthorized access
Other enhancements
Audit success/failure of database
operations
TDE support for storage of in-memory
OLTP tables
Enhanced auditing for OLTP with ability
to track history of record changes
Enhanced AlwaysOn
Three synchronous replicas for
auto failover across domains
Round robin load balancing of
replicas
Automatic failover based on
database health
DTC for transactional integrity
across database instances with
AlwaysOn
Support for SSIS with AlwaysOn
Enhanced database caching
Cache data with automatic,
multiple TempDB files per instance
in multi-core environments
Agenda

8. Improvements on AlwaysOn Availability Groups
 Standard Edition will support AGs support with one database per group synchronous
or asynchronous, not readable (HA/DR only)
 Improved Log Throughput
 Up to 3 sync replicas
 Load balancing of read-only requests on multiple secondaries
 Better policies for failover, for example, looking at individual database health
 Microsoft DTC support

9. Improvements on Security
 Always Encrypted: Columns are encrypted using keys on the application driver side
 Dynamic Data Masking: Establishes policies to mask sensitive column values to
specific users or roles
 Row Level security: Establishes policies that filter our specific rows based on the user
role

10. Improvements on In-Memory OLTP
 Will support Foreign Keys, Check and Unique constraints between in-memory tables
 Size limit increased from 256GB to 2TB
 Storage file garbage collector tuned to be faster by decoupling the GC from FS
 Transparent Database Encryption (TDE) is supported now for in-memory tables
 Multi-threaded checkpoint for in-memory (one per container)
 ALTER PROCEDURE and sp_recompile supported (fully online)
 ALTER TABLE for schema and index changes (offline). Requires 2x memory.
 Parallel plans are now possible on in-memory tables
 Native compilation support for: outer joins, OR, NOT, UNION (ALL),DISTINCT,
Subqueries (IN, NOT IN, EXISTS, NOT EXISTS)
 Natively compiled stored procedures can be nested
 Ability to create natively compiled UDFs
 Trigger support added to in-memory tables
 Improvements on the migration wizard
 Wide range of collations supported now
 LOB support

11. Improvements on Columnstore Indexes
 Parallel insert
 Nonclustered B-Tree indexes on top of the Clustered Columnstore Index
 Read/write Nonclustered Columnstore on top of a Regular Clustered Index
 In-Memory Columnstore Index on In-Memory OLTP table
 More T-SQL constructs run in batch mode. More predicates and aggregates
 REORGANIZE will remove deleted rows and merge small rowgroups, online
 New DMVs, XEvents and Perfmon counters
 Support for RCSI or Snapshot isolation
 Fully readable on an Availability Groups secondary
 Use filtered Columnstore indexes for high performance
CREATE NONCLUSTERED COLUMNSTORE INDEX account_NCCI
ON T_account (accountkey, accountdescription, unitsold)
WHERE accountkey > 0;
SELECT SUM( unitsold ) FROM t_account WHERE accountkey >=0 AND accountkey < 1000;

12. Improvements on DBA features
 Query Store: Allows tracking changes of execution plans, comparing different plans
and easily telling the optimizer what plan to use.
 Online ALTER COLUMN
 Truncate at Partition level
 Instance will have better handling of multiple Temdb files.

13. Improvements on Dev features
 Native JSON support. SQL Server 2016 will natively parse and store JSON as relational
data and will support exporting relational data to JSON.
 Temporal database: transparent and built-in functionality to track historical changes
in the data (for example, an address or name change).
 SQL Dev integrated back into one experience: Sql Server Data Tools for Visual Studio
2015 will have both relational and BI database projects.
JSON (JavaScript Object Notation) is an standardized data exchange format that
is currently not supported natively by SQL Server. To perform JSON imports and
exports you need to hand-code complex T-SQL, SQLCLR or JavaScript.

14. Improvements on Azure integrations
 Stretch a SQL Server table to Azure. Have a table that expands from on premises SQL
Server to Azure
 Supports Always Encrypted & Row Level Security
 Snapshot backup to Azure storage when running as a VM on Azure and with files
directly on blob storage

15. Integration with Hadoop
 Polybase included in SQL Server to query HDFS with T-SQL. Integrated with SQL Server
 To stand up a cluster of SQL2016 instances, one head node and one or more compute
nodes and do parallel processing with Hadoop through Polybase.

16. Improvements on BI
 Datazen is available now for any SQL 2008+ Enterprise + SA license holder, should be
further integrated with the BI stack by release time.
 SSRS is getting a modern look, mobile experience, all browser compatibility,
paramater layout customization, new visualizations.
 SSIS designer support for previous versions.
 PowerQuery support in SSIS.
 PowerBI Q&A through the SSAS on-premises data connector.
 Pin SSRS reports to PowerBI dashboards.
 Many to Many relationships on SSAS Tabular.
 Built-in time intelligence on SSAS Tabular models, new DAX functions, parallel
partition processing.
 New scripting language for Tabular model projects.
 Netezza as a native data source for SSAS.
 DBCC instruction support for multidimensional for maintenance related tasks.
 Tight integration and improvements in relation to Sharepoint vNext.

17. Excel Power Pivot como herramienta de apoyo para la
estratetia de BI Self-Service
29 de Julio (12 pm GMT -5)
Julián Castiblanco
Resúmen:
Mostrar algunos de los escenarios en que Excel Power Pivot se presenta
como una herramienta de apoyo para analizar información en las
diferentes áreas de la organización.
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