SQL Server 2012 is a cloud-ready information platform that helps organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence. Sujit Rai, a technical expert at Convonix shares its uses in business intelligence.
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Scalability & Performance Enhancement
• Column Store indexes
• Partition support increased
• Online index Create Rebuild and Drop
• Achieve maximum scalability with windows
Server 2008 R2
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Manageability Enhancements
• SQL Server Management Studio
• IntelliSense Enhancement
• A new Insert Snippet Menu
• Transect SQL Debugger
• Resource Governor Enhancement
• Contained Databases
• Tight Integration with SQL Azure
• Startup Options Relocated
• Data tier Application Enhancements
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Phases of Enterprise Information
Management
Project Integration Services
Discover Origins & Market-leading ETL
Relationships between and data integration
artifacts tool
Easy-start solution for Knowledge-based Data
master and reference Cleansing & Matching
data management
Master Data Services Data Quality
Services
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Why is Data Quality Important?
Data quality problems cost U.S. businesses more
than $600 billion a year.
Data Warehousing Institute (TDWI)
Costs associated with bad data include:
Excess inventory
Higher supply chain costs
higher direct marketing costs
Billing
And more…
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Common Data Quality Issues
Data Quality Issue Sample Data Problem
Format Do values follow consistent formatting Telephone number formats:
standards ? xxxxxxxxxx,
(xxx) xxx-xxxx
1.xxx.xxx.xxxx, etc.
Standard Are data elements consistently defined ‘Gender code’ = M, F, U
and understood ?
‘Gender code’ = 0, 1, 2
Consistent Do values represent the same meaning ? How is revenue presented ?
Dollars, Euro, Both?
Complete Is all necessary data present ? 20% of customers’ last name is blank,
50% of zip-codes are 99999
Accurate Does the data accurately represent A Supplier is listed as ‘Active’ but went
reality or a verifiable source? out of business six years ago
Valid Do data values fall within acceptable Salary values should be between
ranges? 60,000-120,000
Duplicates Data appears several times Both John Ryan and Jack Ryan appear
in the system – are they the same
person?
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How to Manage Data Quality?
Data quality management entails establishment and
deployment of:
Roles
Responsibilities
Policies
Procedures
Technology
People Technology Processes
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DQS Solution Concepts
Knowledge-Driven
Based on a Data Quality Knowledge Base (DQKB) that is reusable for a
variety of data quality improvements
Semantics
Data is mapped into Data Domains, which capture its Semantics
Knowledge Discovery
Acquire additional knowledge through data samples and user feedback
Open and Extendible
Support use of user-generated knowledge and IP by 3rd party reference
data providers
Easy to Use
Compelling user experience designed for increased productivity
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DQS Architecture Overview
DQS Clients DQS Cloud Services
DQS Client DataMarket - Categorized Reference Data DQS Store - KB, Domains
Knowledge
Discovery and
Management
DQS Server 3rd Party
Reference
Interactive DQ Data
Projects Reference Data API Reference Data API
(Browse, Set, Validate…) (Browse, Get, Update…)
DQS Engine Reference
Cleansing
Administration Data
Knowledge Data Profiling Services
Discovery Matching Reference Data
Exploration
Other DQS Clients
DQ Projects Store Common Knowledge Store
SSIS DQS Cleansing
Component
Future Clients: DQ Active Published
Excel, SharePoint, Projects KBs
MDS…
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DQS Flow
Create DQKB
Knowledge
Create DQS Project Discovery to create
a domain
Manage Domains
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Main Scenarios
Data Warehouse / Operational Data
Data Solutions Management
Data Marts Mgmt
Provides storage and Enables business users to Central data records mgmt
management of the objects manage the dimensions and consumption sourced
and metadata used as the and hierarchies of DW / by other operational
application knowledge Data Marts systems
• Object mappings • BI scenarios
A company has adopted 6 “best
of breed” systems from different
• Reference Data / vendors. They need to be able to
managed object lists propagate the correct customer
information to each system in a
• Metadata management / consistent way.
data dictionary MDS provides a platform for
central schema, integration
points and validation for
SI/ISV/Internal IT to develop a
custom solution1
MDS focus
Partners Value Add
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Validation
MDS Capabilities Authoring business rules to ensure
data correctness
Modeling
Entities, Attributes, Hierarchies
Excel Add-In MDS Web UI Data Matching
Role-based Security and
Transaction Annotation Master Data
Stewardship
Versioning
Enabling Integration & Sharing
Loading batched data Registering to changes Consuming data Workflow /
through Staging Tables through APIs through Views Notifications
External
Excel DWH (CRM, ..)
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SQL Server 2012 Focus for MDS
Empowering IWs through
Excel Add-in and improved
Web UI
Enhanced performance and
scalability
Improved quality (usability,
Focus on Foundational robustness, security)
Platform
V1 product
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Analysis Services
Build on the strengths
Embrace the relational
and success of Analysis
data model – well
Services and expand its
understood by
reach to a much
developers and IT Pros
broader user base
Bring together the
relational and Provide flexibility in
multidimensional the platform to suit the
models under a single diverse needs of BI
unified BI platform – applications
best of both worlds!
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BI Semantic Model: Architecture
Reporting
Third-party SharePoint
Services & Excel
applications Power Pivot Insights
Power View
Databases LOB Applications Files OData Feeds Cloud Services
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How Should I Build my Model?
Depends on the application needs for each layer
Data model
Business logic
Data access & storage
Two Visual Studio (BIDS) project types in SQL Server
2012
Multidimensional project – with MDX and
MOLAP/ROLAP
Tabular project – with DAX and
VertiPaq/DirectQuery
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SSAS: Multidimensional Model
Improvements
Multidimensional projects received over 300
improvements for performance, supportability, reliability
and functionality
Almost 100 were reported directly by customers
Major new features include:
Visual Studio 2010 designers
Removal of 4GB string store limit for attributes
New events for monitoring lock usage & contentions
New messages for tracking resources used per
command
New PowerShell support
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What’s New in Power Pivot for Excel
Add-in?
Includes the same designer and the same features
available to the IT Pro in the Tabular Project in
BIDS, except:
Table partitions
Security roles
Configuring Direct Query mode
Note it is possible to restore a PowerPivot
workbook on a tabular instance of Analysis Services
and then create and manage table partitions
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Excel’s PowerPivot ribbon tab includes the ability to
create, edit and delete KPIs
The PowerPivot Field List has been updated to:
Allow perspective selection
Display hierarchies and KPIs
Create a KPI based on a measure
The Measure Settings window, used to create and
edit measures, supports the configuration of
formatting options
What’s New in Power Pivot for Excel Add-in
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SharePoint Server 2010 SP1 is a prerequisite
The add-in has update to include:
New administrative capabilities
New setup experience
Power View authoring from the PowerPivot Galley
What’s New in Power Pivot for Excel Add-in
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What is Power View?
Power View is an interactive
data exploration and visual
presentation experience.
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SQL Server 2012 Power View
Highly Visual Design Experience
• Interactive, web-based authoring and sharing of information
• Familiar Microsoft Office design patterns
• Powerful data layout with banding, callout and small multiples
visualizations
Rich metadata-driven interactivity
• Fully integrated with Power Pivot
• Drive greater insight through smart and powerful querying
• Zero configuration highlighting and filtering
• Animated trending and comparisons
Presentation-ready at all times
• Interactive Presentation turns pervasive information into
persuasive information
• Deliver and collaborate through SharePoint
• Full screen presentation mode for interactive boardroom
session
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Power View Architecture
SharePoint Farm
SQL Server BIDS
Web Front End App Server BISM Model
RS Shared
SSRS Addin
Service
Power View client for
SharePoint
AS
Power Pivot Server
Tabular
System Service
Power Pivot
Web Service
Analysis
Services SP
Integrated
Excel PowerPivot
Model
Data sources
Start by addressing islands of problems within the org – bottoms up approach (analogy Data Marts vs Data Warehouses)Enable data experts to create and modify their data in a controlled and secure wayEase AdminstasksSimple deploymentEasy to define and manage data models
Where do we want to take this product. Multi-release, multi-year vision for the productSometimes you want fast time to solution, sometimes you want complex calculations and huge scaleBISM is the name we give to Analysis Services that encompasses these goals