SQL Server What s New with BI & Friends? Sascha Götz Karlsruhe,
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1 SQL Server 2017 What s New with BI & Friends? Sascha Götz Karlsruhe,
2 Sascha Götz Business Intelligence Consultant ist Microsoft Certified Solution Expert für Business Intelligence und als Senior BI Consultant bei der inovex GmbH beschäftigt. Er beschäftigt sich seit SQL Server 2000 mit dem Produkt und seinen Komponenten und bringt zudem langjährige Erfahrung als.net Entwickler und Datenbankdesigner mit. Seit 2015 beschäftigt er sich mit der Azure Data Platform. 2
3 SQL Server 2017 CTP 2.1 Database Engine 3
4 Database Engine New string functions CONCAT_WS 4
5 Database Engine New string functions TRANSLATE ( inputstring, characters, translations) 5
6 Database Engine New string functions TRIM() = LTRIM() + RTRIM() 6
7 Database Engine New string functions STRING_AGG() Concat über mehrere Zeilen SELECT Firstname FROM AdventureWorks2017.Person.Person SELECT STRING_AGG (FirstName, ',') FROM AdventureWorks2017.Person.Person 7
8 DEMO Database Engine 8
9 Database Engine In-Memory enhancements Clustered Columnstore Indexes now support nvarchar(max), varchar(max), varbinary(max) 9
10 Database Engine In-Memory enhancements Memory-Optimized tables (àka Hekaton) CASE expressions are now supported for natively compiled T-SQL modules. The limitation of 8 indexes on memory-optimized tables has been eliminated. Support for computed columns in memory-optimized tables, including indexes on computed columns. Memory-optimized filegroup files can now be stored on Azure Storage. 10
11 SQL Server 2017 CTP 2.1 Graph DB 11
12 Graph DB 1 livesin n Sehr gut in der Abbildung von komplexen Relationen City 1 n likes n Person n locatedin n Restaurant n likes Relationale DB Graph DB Tabelle: City Tabelle: Person Tabelle: Person_likes_City Tabelle: Restaurant Tabelle: Person_likes_Restaurant Tabelle: Restaurant_locatedin_City Tabelle: Person_livesin_City Node: City Node: Person Edge: Likes Node: Restaurant Edge: livesin Edge: locatedin 12
13 Graph DB Sehr gut in der Abfrage von komplexen Relationen! Aufgabe: Gib mir alle Personen die in München wohnen und ein Restaurant in Berlin liken Relationale DB SELECT * FROM Person INNER JOIN Person_livesin_City on Person.Person_ID = Person_livesin_City.Person_ID INNER JOIN City as PersonCity on PersonCity.City_ID = Person_livesin_City.City_ID INNER JOIN Person_likes_Restaurant on Person_likes_Restaurant.Person_ID = Person.Person_ID INNER JOIN Restaurant Graph DB SELECT * FROM Person, livesin, City PersonCity,likes, Rastaurant, locatedin, City RestaurantCity WHERE MATCH ( Person-(livesIn)->PersonCity AND Person-(likes)->Reastaurant-(locatedIn)->RestaurantCity ) on Restaurant.Restaurant_ID = Person_likes_Restaurant.Restaurant AND PersonCity = 'München' INNER JOIN Restaurant_locatedin_City AND RestaurantCity = 'Berlin' on Restaurant_locatedin_City.Restaurant_ID = Restaurant.Restaurant_ID INNER JOIN City as RestaurantCity on RestaurantCity.City_ID = Restaurant_locatedin_City.City_ID WHERE PersonCity = 'München' AND RestaurantCity = 'Berlin' 13
14 Graph DB Nodes CREATE TABLE Person ( ID INTEGER PRIMARY KEY, name VARCHAR(100) ) AS NODE; INSERT INTO Person VALUES (1,'John'); SELECT * FROM Person 14
15 Graph DB Edges CREATE TABLE likes AS EDGE; INSERT INTO likes VALUES ( (SELECT $node_id FROM Person WHERE id = 1), (SELECT $node_id FROM Restaurant WHERE id = 1)); SELECT * FROM likes 15
16 Graph DB Limitations? - Aber gerne! No graph temporary tables No graph table variables No graph system-versioned temporal tables Node and edge tables cannot be memory optimized tables No Edge Update (nur Attribute) No Cross DB Queries 16
17 DEMO GraphDB 17
18 SQL Server 2017 CTP 2.1 Integration Services 18
19 Integration Services New features SQL Server 2017 Integration Services (SSIS) now supports SQL Server on Linux Scale Out for SSIS (on premise) SSIS in the cloud (ADF 2.0) 19
20 Integration Services Scale Out Concept Verschlüsselte Kommunikation über Zertifikate Packages Config Logs 20
21 Integration Services Scale Out Scale Out Master Installation 21
22 Integration Services Scale Out 22
23 Integration Services Scale Out Scale Out Worker Installation 23
24 Integration Services Scale Out Scale Out Manager SSISB->Manage Scale Out (Run as Administrator!) 24
25 Integration Services Scale Out Scale Out Manager 25
26 Integration Services Scale Out MasterSettings.config Configuration Files C:\Program Files\Microsoft SQL Server\140\DTS\Binn\ WorkerSettings.config 26
27 Integration Services Scale Out Execute in Scale Out 27
28 Integration Services Scale Out SQL Agent Execute in Scale Out New property in SSISDB Config 28
29 Integration Services Scale Out T-SQL Execute in ScaleOut 29
30 DEMO Integration Services Scale Out 30
31 Integration Services Scale Out 31
32 Pizza
33 Azure Data Factory 2.0 IS Runtime (Preview Feature) 33
34 Integration Services SSIS in the cloud with Azure Data Factory 2.0 SSIS Pakete in einer managed Umgebung ausführen Bereitstellung ISRuntime über PowerShell* oder Author & Monitor Best practice: Anbindung von on-premise Datenbanken über VNET->Local Network Gateway * 34
35 Integration Services SSIS in the cloud with Azure Data Factory 2.0 Bereitstellung SSIDB in der Cloud Scheduling On-Premiuse SQL Server Agent ADF 2.0 Execute SQL 35
36 Integration Services SSIS in the cloud with Azure Data Factory 2.0 Limitations? - Aber gerne! Keine custom DLLs Keine Third Party Komponenten On-Premise daten nur über Classic VNETs (!!!) Nur Project Deployment model 36
37 DEMO Azure Data Factory 2.0 IS Runtime 37
38 SQL Server 2017 CTP 2.1 Analysis Services 38
39 Analysis Services Multidimensional Neue Features: Multidimensional mode and Power Pivot for SharePoint mode are a staple for many Analysis Services deployments. In the Analysis Services product lifecycle, these modes are mature. There are no new features for either of these modes in this release. However, bug fixes and performance improvements are included. 39
40 Analysis Services Tabular Tabular mode is now the default installation option for Analysis Services. 40
41 Analysis Services New Get Data experience (Power Query) Simple Transformationen in SSAS über Power Query möglich 41
42 Analysis Services New Date Relation features Mutliple Relations Fact<-> Date Dimension DAX Formular with USERELATIONSHIP -Hint 42
43 Analysis Services DAX enhancements New >>IN<< Operation Filtered Sales:=CALCULATE ( [Internet Total Sales], 'Product'[Color] = "Red" 'Product'[Color] = "Blue" 'Product'[Color] = "Black" ) Filtered Sales:=CALCULATE ( [Internet Total Sales], 'Product'[Color] IN { "Red", "Blue", "Black" } ) 43
44 DEMO Analysis Services 44
45 SQL Server 2017 CTP 2.1 Reporting Services 45
46 Reporting Services SQL Server Reporting Services is no longer available to install through SQL Server setup RESTful API 46
47 Reporting Services Comments and attachments are now available for reports 47
48 Reporting Services Build-In DAX/MDX Query Designer 48
49 DEMO Reporting Services 49
50 Sascha Götz inovex GmbH Ludwig-Erhard-Allee Karlsruhe
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