Business Intelligence Overview Marc Schöni Technical Solution Professional | Business Intelligence Microsoft Switzerland.
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Business IntelligenceOverview
Marc SchöniTechnical Solution Professional | Business IntelligenceMicrosoft Switzerland
SQL Server 2014 and the Data Platform
Mission Critical Performance
Faster Insights from Any Data
Platform for Hybrid Cloud
SQL 2014 BI credo
When it comes to business intelligence, our mission is to deliver faster insights into any data big data, small data, all data and most importantly deliver BI in a consumable
manner for business users through familiar tools.
New BI elements in SQL 2014
Power BI
inlcuding Power Query, Power Map
etc.
Hadoop/Polybase
Mobile BI apps
Distributed Storage(HDFS)
Query(Hive)
Distributed Processing
(MapReduce)
Scripting(Pig)
NoSQ
L Data
base
(HB
ase
)
Metadata(HCatalog)
Data
Inte
gra
tion
( OD
BC
/ SQ
OO
P/ REST)
Rela
tiona
l(S
QL
Serve
r)
Machine Learning(Mahout)
Graph(Pegasus)
Stats processin
g(RHadoo
p)
Eve
nt Pip
elin
e(Flu
me)
Active Directory (Security)
Monitoring & Deployment
(System Center)
C#, F#, .NET
JavaScript
Pipelin
e / w
orkflo
w(O
ozie
)
Azure Storage Vault (ASV)
PD
W Po
lybase
Busin
ess
Inte
lligence
(E
xcel, Po
wer
Vie
w, S
SA
S)
World's Data (Azure Data Marketplace)
Eve
nt
Drive
n
Proce
ssing
LegendRed = Core HadoopBlue = Data processingGray= Microsoft integration points and value addsOrange = Data MovementGreen = Packages
HDInsight and Hadoop Ecosystem
The Big (Data) Picture: BI DWH
Fast
L
oad
Source Systems
Historical Data(Beyond Active Window)
Summarize & Load
Big Data Sources (Raw,
Unstructured)
Alerts, Notifications
Data & Compute Intensive Application
ERP CRM LOB APPS
Integrate/Enrich
SQL Server StreamInsight
Enterprise ETL with SSIS, DQS, MDS
HDInsight on Windows Azure
HDInsight on Windows Server
SQL Server FTDW Data Marts
SQL Server Reporting Services
SQL Server Analysis Server
Business Insights
Interactive Reports
Performance Scorecards
Crawlers
Bots
Devices
Sensors
SQL Server Parallel Data Warehouse
Data Insights Value
Azure Market Place
Multidimensional: The BI Path
Data Model Complexity
User Requirements
SSAS MultidimensionalVisual Studio
Tabular: The BI Path
Data Model Complexity
User Requirements
PowerPivotfor Excel
PowerPivotfor SharePoint
SSAS Tabular
EXCEL
Visual Studio
Multidimensional Tabular Mapping
BISM-MD Object Tabular ObjectCube Model
Cube Dimension Table
Attributes (Key(s), Name) Columns
Measure Group Table
Measure Measure
Measure without MeasureGroup Within Table called “Measures”
MeasuregroupCube Dimension relationship Relationship
Perspective Perspective
KPI KPI
User/Parent-Child Hierarchies Hierarchies
Team BIIT
Sanctioned
Self-Service BI Enterprise BIOrganizational
Adoption
Scale of a Self-Service BI Solution
Microsoft Business Intelligence Platform
Analysis Services
Reporting Services
Integration Services
Master Data Services
Data Quality Services
SharePoint
Scorecards
Excel Workbook
s
PowerPivot
Applications
SharePoint
Search & Dashboar
ds
LOB AppsStreamInsight
When to choose tabular over multi-dimensionalConsider tabular if…
You have no pre-existing knowledge of MDX etc.You are looking into building a new solution from scratchYou need access to many different external data sourcesYou want mind-numbing speed and consistently fast query times
Consider multi-dimensional if…
You need complex calculations, scoping, and named setsYou need many-to-many relationsshipsYour solution requires complex modeling
The tools in both worlds
Power Query
Self-
serv
ice
Trad
itio
nal
Power Pivot
Extract
Pro
cess
SSIS
Transform Load
SSAS
Front-End choice
IT I
nv
olv
em
en
t
User activity
ScorecardingPerformanc
e Monitoring
Parameterized &
operational reporting
Business Reporting
Self-Service Analysis
Performance Point Services
Reporting Services
Report Builder
PowerPivot
Excel 2013
Power View
IT Authore
d
User Authore
d
Demo personas
Stewart• Data Steward• Business SME• Provisions and
distributes High Quality Data
• Excel & Data Steward portal
Anna• Analyst• Business User• Provides
reports and information to management
• Excel, BI Sites, Mobile Client
Joe• IT Pro• Technical SME• Provides and
supports IT Platform
• IT Management Portal
Storyline
• Anna is an analyst in a pharmaceutical company. She has been asked by her manager to evaluate the situation of the HIV epidemic and explore the economic potential of the areas affected most.
• She knows her colleague Stewart has previously worked with historical population and income data.
How we will approach this
Income data(data
catalogue)
Population data (data catalogue)
Epidemic data (web)
Combined data set
Interactive dashboard
(Power View)
3D visualizatio
n of on globe
(Power Map)
Natural language querying (Power Q&A)
Data
so
urc
es
Data
m
od
el
Vis
ualiz
ati
on
/
Inte
ract
ion
Geographies(local Excel
file)
«Graduating» a self-service data model
• Joe, an IT professional in the IT department, has heard that the reports Anna created are being used by an increasing number of users.
• He was assigned the task to promote this report to the «Enterprise» level
Feature Comparison Cloud vs. On-premise
Feature Online On-premise
Discover & Combine – Power Query
P P
Analyze & Model – Power Pivot P P
Visualize & Explore – Power View P P
Visualize & Explore – Power Map P PData Stewardship P
Monitor report usage P P
Refresh data on schedule P P
Ask questions and get answers – Power Q & A
P
Mobile BI – HTML5* P P
Mobile BI – native apps (Win8 RT, iOS)
P
Additional resources
• Power Pivot tutorialhttp://technet.microsoft.com/en-us/library/hh272049.aspx
• Get your own Power BI preview tenanthttp://www.powerbi.com
• What’s new in Power Pivot• http://
technet.microsoft.com/en-us/library/hh272053.aspx• Download SQL Server 2014 CTP1
http://www.microsoft.com/sqlserver
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION
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