1. SQL Server 2014
Faster Insight from Any Data
Stéphane Fréchette
Friday May 9, 2014

2. Email: stephanefrechette@ukubu.com
Twitter: @sfrechette
Blog: stephanefrechette.com
Stéphane Fréchette
Founder, CEO | Strategic consultant
Microsoft SQL Server MVP

3. Session Overview

6. Excel BI | Capabilities

7. Microsoft Power BI for Office 365
1 in 4 enterprise customers on Office 3651 Billion Office Users
Analyze Visualize Share Find
Q&A
MobileDiscover
Scalable | Manageable | Trusted

8. Extend with Hybrid Cloud Solutions

9. Extend with Hybrid Cloud Solutions

10. Extend with Hybrid Cloud Solutions

11. Power Query, PowerPivot,
Power View, and Power Map

12. Powerful Self-Service BI with Excel 2013

13. Power Query
Enable self-service data discovery, query, transformation and mashup experiences for Information
Workers, via Excel and PowerPivot
Discovery and connectivity to a wide range of data sources, spanning volume as well as
variety of data.
Highly interactive and intuitive experience for rapidly and iteratively building queries over
any data source, any size.
Consistency of experience, and parity of query capabilities over all data sources.
Joins across different data sources; ability to create custom views over data that can then be
shared with team/department.

14. Power Query
Discover, combine, and refine Big Data, small data, and any data with Data
Explorer for Excel.

15. S
Data Sources
Windows Azure
Marketplace
Windows Active
Directory
Azure SQL
Database
Azure HDInsight

16. Powerful Self-Service BI with Excel 2013

17. Introducing PowerPivot

18. PowerPivot for SharePoint

19. Powerful Self-Service BI with Excel 2013

20. Introducing Power View

21. Power View for Multidimensional Models
• Power View on Analysis Services via BISM
• Native support for DAX in Analysis Services
• Better flexibility: Choice of DAX on Tabular or Multidimensional (cubes)

22. Architecture
Internet Explorer
Analysis Services
BI Semantic Model
Tabular
SharePoint
(2010 or 2013)
Reporting
Services
Power View
Analysis Services
BI Semantic Model
Multidimensional
SQL Server Data Tools
SQL Server Data Tools
1
2
35
6
4

23. BI Semantic Model: ArchitectureThird-party
applications
Reporting Services
(Power View) Excel PowerPivot
Databases LOB Applications Files OData Feeds Cloud Services
SharePoint
Insights

24. BISM-MD Object Tabular Object
Cube Model
Cube Dimension Table
Attributes (Key(s), Name) Columns
Measure Group Table
Measure Measure
Measure without MeasureGroup Within Table called “Measures”
MeasuregroupCube Dimension relationship Relationship
Perspective Perspective
KPI KPI
User/Parent-Child Hierarchies Hierarchies
Multidimensional-Tabular Mapping

25. Powerful Self-Service BI with Excel 2013

26. Power Map for Microsoft Excel enables information workers to discover and share new insights
from geographical and temporal data through three-dimensional storytelling.
What Is Power Map?

27. Map Data
• Data in Excel
• Geo-Code
• 3D and 3 Visuals
Discover Insights
• Play over Time
• Annotate points
• Capture scenes
Share Stories
• Cinematic Effects
• Interactive Tours
• Share Workbook
Power Map: Steps to 3D insights

28. Map Data
•

29. Discover Insights
•
•
•
•

30. Share Stories
•
•
•
• Export to Video for Viral!

31. Power Map
Excel Add-in to Enhance Data Visualization

32. Power BI Site

33. Power BI for Office 365 | Capabilities

34. Power BI for Office 365 | Capabilities

35. Power BI for Office 365 | Capabilities

36. Power BI for Office 365 | Capabilities
Corporate
Data Sources

37. Data Management Gateway
Enabling Corporate
OData Feeds
Enabling Excel Workbook
Data Refresh using
SharePoint Online
Enabling
Discovery in
Power Query
capabilities
Power BI Admin Center
Data Management
Gateway

38. Data Management Gateway - Conceptual
Power BI Admin Center
Allows IT to configure, manage
and monitor access to
corporate data sources.
Data Management Gateway
Connects to corporate data
sources and sends data to
Microsoft cloud services through a
secure channel (Service Bus).
Corporate Data Sources
The Gateway can connect to
a variety of data sources.
Secure Credential Store
All credentials used by
the gateway are stored
on-premises.

39. Data Management Gateway
Network Topology
MICROSOFT DATA CENTERINTERNET
PERIMETER
NETWORK
INTRANET
Data Management
Gateway
Data Management
Gateway Cloud
Services
Customer network
Power Query
Outgoing connection to cloud services
(Registration, Regular Heartbeat, Data
Source definition requests)
Connect to
Corporate
OData feed
Data
Per Machine: Single gateway installed
Credential
Management
Saves
credentials

40. Corporate OData Feeds and
Data Management Gateway
Data Management
Gateway
Power Query
(1) Using Power Query Anna connects to OData feed
(URL: http://feedgwMyDB )
Example: ContosoAnna
(2) The Data Management
Gateway connects to SQL
Server using either Windows
account or Database account
setup by Patrick when creating
the feed
Example: DB1_Reader
(3) Returns Result
(4) Returns OData feed

41. Scheduled Refresh
Scenario: workbook is refreshed on schedule as configured by the author in BI Sites
• Scheduler runs in BI Azure and triggers refresh as configured in the BI Sites application
• The flow assumes the workbook has been added to Power BI, thus save back is done directly to SPO
• When refresh is called by BI Azure, SPO rehydrates the user identity and calls WAC in a back channel (i.e. redirect equivalent)
3. Refresh workbook
BI Azure
Office Web Apps
Service (WAC)
Excel Services
5. Get shadow
workbook refresh
Data Model
SPO
Azure Active
Directory(AAD)
OrgID, MSODS,ACS
Excel
Service
s SOAP
API
1. Verify user existence and license in MSODS and get
access token to target URL in SPO from ACS
2. Construct the user part of the access token, and trigger
refresh for a workbook on behalf of the scheduled refresh user
On-Prem
Data
Sources
Cloud Data
Sources
6. Get data from
cloud/on-prem
sources and re-
process the data
model
7. Save updated workbook to SPO
4. Power BI workbook?

42. On-premises Data Access from BI Azure
Scenario: Interactive refresh from Excel Web Access where the data source is on-premises
• For interactive refresh, shared data sources are configured in advance in the Power BI Admin Center
• For scheduled refresh, personal data sources can be configured by the workbook owner
Azure Active
Directory (AAD)
OrgID, MSODS,
ACS
BI Azure
Hybrid Proxy
ADO.NET
Provider
Discovery API Tenant
Configuration
SQL Azure
Hybrid Data Integration Service
Hybrid Proxy
Hybrid Delivery
1. Determine whether data
source is cloud or on-prem,
and retrieve registered ID
2. Authenticate &
retrieve tenant
information
3. Get registered
data source info
On-Prem
Cloud
4. Issue refresh query
Data Management Gateway
Windows Azure Service Bus
5. Send request to Gateway
(via Service Bus)
Hybrid Delivery
Client API
6. Read query request from
Service Bus queue
7. Retrieve data
source
credentials
Credential
Manager8. Run query and
retrieve the data
9. Coordinate
transfer job
Azure Storage
(temporary)
10. Compress &
stream data in
multiple chunks
11 . Receive & decompress
data
Azure Active Directory
(AAD)
OrgID, MSODS, ACS
BI Azure
Hybrid Proxy
ADO.NET
Provider
Discovery API
Hybrid Data Integration Service
Hybrid Proxy
Hybrid Delivery

43. Data Refresh in SPO– How does it work?
Data Management
Gateway
Excel Workbook in
SharePoint Online
Gateway
Cloud Service
(1) Excel workbook
uploaded to
SharePoint
Online
(2) Click Data
Refresh for
Excel workbook
(3) Connects to Gateway
Cloud Service
(4) Checks whether user is
authorized to perform a
refresh
(5) Sends command (SQL
statement, connection string)
to on-premise Data
Management Gateway
(6) Sends SQL to
SQL Server
(7) Return Results
(8) Efficiently
transfer this to
cloud service
(9) Returns data to Excel
Workbook

44. Data Management Gateway - OData

45. Power BI for Office 365 | Capabilities

46. Engage customers with smart,
contextual mobile experiences
Boost agility with real-time access to
apps and data from anywhere
Enable Deep Business and Customer Connections
Virtually Anytime, Anywhere

47. Stay Productive on the Go
Deliver Familiar, Connected Experiences to a Mobile Workforce
…while ensuring enterprise security, manageability, and compliance

48. Mobile BI Capabilities Available Today
Browser-based corporate
BI solutions on iOS,
Android and Windows:
• SharePoint Mobile enhancements
• PerformancePoint Services
• Excel Services
• SQL Server Reporting Services
“Ultimately, the new Microsoft mobile BI solution leads to more revenue for Recall
and gives us deeper customer insight, helping us stay ahead of our competitors.”
Recall Records Management Company Gets Real-Time BI, Boosts Sales with Mobile Solution case study. Full Case study.

49. Excel Web App

50. Excel Web App
Quick Explore

51. Mobile-Friendly Apps for Office

52. Power BI for Office 365 | Capabilities

53. Tabular models for Power BI

54. Datasources

55. Creating & managing models in Power BI

56. Reliable Persistent Storage (RPS)
Power BI Tabular Model Architecture
SSDT
SQL Azure
HDInsight
Azure Tables
External Data Sources
AS Instance AS Instance AS Instance AS Instance
…
On Prem SQL
Gateway
Power BI Portal
in O365
Excel
XMLA REST

57. Service Health Monitoring
At a glance view of the health of IT managed gateways

58. Enabler of Self Service BI
Varying levels of control across data sources,
departments
Oversight and monitoring of cloud data access
Ability to make corporate data sources easier
to discover, and easier to access
Role of the IT Admin in Power BI

59. https://itadmin.clouddatahub.net/
Power BI Admin Center

60. Power BI Admin Portal & Data Management
Gateway
Power BI Admin CenterPower BI Admin Center

61. HDInsight, Polybase, and
StreamInsight

62. Key Trends

63. Big Data Analytics

64. Internet of things
Audio / Video
Log Files
Text/Image
Social Sentiment
Data Market Feeds
eGov Feeds
Weather
Wikis / Blogs
Click Stream
Sensors / RFID / Devices
Spatial & GPS Coordinates
WEB 2.0Mobile
Advertising CollaborationeCommerce
Digital Marketing
Search Marketing
Web Logs
Recommendations
ERP / CRM
Sales Pipeline
Payables
Payroll
Inventory
Contacts
Deal Tracking
Terabytes
(10E12)
Gigabytes
(10E9)
Exabytes
(10E18)
Petabytes
(10E15)
Velocity - Variety - variability
Volume
1980
190,000$
2010
0.07$
1990
9,000$
2000
15$
Storage/GB
ERP / CRM WEB
2.0
Internet of things
What Is Big Data?

65. Modern Data Warehousing

66. Hadoop Distributed Architecture

67. MapReduce: Move Code to the Data

68. So How Does It Work?

69. Distributed Storage
(HDFS)
Query
(Hive)
Distributed Processing
(MapReduce)
ODBC
Legend
Red = Core
Hadoop
Blue = Data
processing
Gray= Microsoft
integration
points and
value adds
Orange = Data
Movement
Green =
Packages
HDInsight and Hadoop Ecosystem

70. Record
reader
Map Combiner
Partitioner
Shuffle
and sort
Reduce
Output
format

72. MapReduce Summary

73. Programming HDInsight
Hive, Pig, Mahout, Cascading, Scalding, Scoobi, Pegasus…
C#, F# Map/Reduce, LINQ to Hive, Microsoft .NET
management clients
JavaScript Map/Reduce, browser hosted console, Node.js
management clients
PowerShell, cross-platform CLI tools

74. RDBMS vs. Hadoop

75. Microsoft Hadoop Vision
Insights to all users by activating new types of data

76. Polybase
76
DBHDFS
SQL Server PDW querying HDFS data, in-situ
=

77. Polybase in PDW V2
77
Hadoop
HDFS DB
(a) PDW query in, results out
Hadoop
HDFS DB
(b) PDW query in, results stored in HDFS

78. Sensor
& RFID
Web
Apps
Unstructured data Structured data
Traditional schema-
based DW applications
RDBMS
Hadoop
Social
Apps
Mobile
Apps
How to overcome the
“impedance mismatch”
Increasingly massive amounts of
unstructured data driven by new
sources
At the same time, vast amounts of
corporate data and data sources,
and the bulk of their data analysis
Polybase addresses this challenge for advanced data analytics by allowing native query across
PDW and Hadoop, integrating structured and unstructured data
Native Query Across Hadoop and PDW

79. • Querying data in Hadoop from PDW using regular SQL queries, including
• Full SQL query access to data stored in HDFS, represented as ‘external tables’ in
PDW
• Basic statistics support for data coming from HDFS
• Querying across PDW and Hadoop tables (joining ‘on the fly’)
• Fully parallelized, high performance import of data from HDFS files into PDW tables
• Fully parallelized, high performance export of data in PDW tables into HDFS files
• Integration with various Hadoop distributions: Hadoop on Windows Server,
Hortonwork and Cloudera.
• Supporting Hadoop 1.0 and 2.0
Native Query Across Hadoop and PDW
Polybase Features in SQL Server PDW

80. Native Query Across Hadoop and PDW
Creating “External Tables”
• Internal representation of data residing in Hadoop/HDFS (delimited text files only)
• High-level permissions required for creating external tables
• ADMINISTER BULK OPERATIONS & ALTER SCHEMA
• Different than ‘regular SQL tables’: essentially read only (no DML support)
CREATE EXTERNAL TABLE table_name ({<column_definition>} [,...n ])
{WITH (LOCATION =‘<URI>’,[FORMAT_OPTIONS = (<VALUES>)])}
[;]
Indicates
“External” Table
1
Required location of
Hadoop cluster and file
2
Optional Format Options associated
with data import from HDFS
3

81. Native Query Across Hadoop and PDW
Querying Unstructured Data
1. Querying data in HDFS and displaying results in table form (using external tables)
2. Joining data from HDFS with relational PDW data
Example – Creating external table ‘ClickStream’:
CREATE EXTERNAL TABLE ClickStream(url varchar(50), event_date date, user_IP
varchar(50)), WITH (LOCATION =‘hdfs://MyHadoop:5000/tpch1GB/employee.tbl’,
FORMAT_OPTIONS (FIELD_TERMINATOR = '|'));
Text file in HDFS with | as field delimiter
SELECT top 10 (url) FROM ClickStream where user_IP = ‘192.168.0.1’ Filter query against data in
HDFS
SELECT url.description FROM ClickStream cs, Url_Description url
WHERE cs.url = url.name and cs.url=’www.cars.com’;
Join data coming from files in
HDFS
(Url_Description is a second text file in HDFS)
Query Examples
1
2
SELECT user_name FROM ClickStream cs, Users u WHERE
cs.user_IP = u.user_IP and cs.url=’www.microsoft.com’;
3 Join data from HDFS
with relational PDW table
(Users is a distributed PDW table)

82. Native Query Across Hadoop and PDW
Parallel Data Import from HDFS into PDW
Persistently storing data from HDFS in PDW tables
Fully parallelized via CREATE TABLE AS SELECT (CTAS) with external tables as source table and PDW tables (either distributed
or replicated) as destination
CREATE TABLE ClickStream_PDW WITH DISTRIBUTION = HASH(url)
AS SELECT url, event_date, user_IP FROM ClickStream
Retrieval of data in HDFS “on-the-fly”
Enhanced
PDW query
engine
CTAS Results
External Table
DMS
Reader
1
DMS
Reader
N
…
HDFS bridge
Parallel
HDFS Reads
Parallel
Importing
Sensor
& RFID
Web
Apps
Unstructured data
Hadoop
Social
Apps
Mobile
Apps
Structured data
Traditional DW
applications
PDW

83. Sensor
& RFID
Web
Apps
Unstructured data
Social
Apps
Mobile
Apps
HDFS data nodes
Native Query Across Hadoop and PDW
Parallel Data Export from PDW into HDFS
• Fully parallelized via CREATE EXTERNAL TABLE AS SELECT (CETAS) with external tables as
destination table and PDW tables as source
• ‘Round-trip of data’ possible with first importing data from HDFS, joining it with relational
data, and then exporting results back to HDFS
CREATE EXTERNAL TABLE ClickStream (url, event_date, user_IP)
WITH (LOCATION =‘hdfs://MyHadoop:5000/users/outputDir’, FORMAT_OPTIONS
(FIELD_TERMINATOR = '|')) AS SELECT url, event_date, user_IP FROM ClickStream_PDW
Enhanced
PDW query
engine
CETAS Results
External Table
DMS
Writer
1
DMS
Writer
N
…
HDFS bridge
Parallel
HDFS Writes
Parallel
Reading
Structured data
Traditional DW
applications
PDW

84. In-Memory for big data analytics
Interactive Analytics over “Big Data”
84
• SQL Server Analysis Services scaled out to very
large data volumes
• Sourced from “Big Data” sources, e.g.
• Hadoop, Isotope, etc.
• Enterprise data sources (SQL Server, Oracle, SAP,
etc.)
• Built upon the In-Memory Analytics engine
• In-memory, column-store, 10x compression
• Deployment vehicles: Box, Appliance, Cloud
• Customers:
• Skype, Klout, Halo 4, UBS, AdCenter, Windows
Update
XMLAWeb services
External
Data Sources
GW
Mgmt
Deploy
Monitor
AS
Instance
AS
Instance
AS
Instance
Reliable Persistent Storage
Excel, PV
3rd party apps,
tools, etc.

85. StreamInsight
Managing Streaming Data In-Memory
•
•
•
Customer benefits
•
•
•
•
85
Event
Output
stream
Input
stream

86. Complete and Consistent Data Platform

87. What Questions Do You Have?

88. Thank You
for attending this session