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)

Connecting and combining various data sources

«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

Importing existing models with SQL Server Data Tools

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