ais sharepoint & bi presentation 24th july 2012

•

•

•

•

•

•

•

•

•

•

•

•

– Gartner

•

Continued

It is the application of

knowledge derived from

analyzing an organization’s

data to effect a more

positive outcome

•

Continued

It transforms data into

knowledge

•−

−

−

•−

−

BI is no longer a luxury afforded by a few large

companies — it is now considered an essential

part of the IT portfolio

•

•

•

•

•

•

•

•

•−

−

−

−

−

−

•

•

•−

−

−

−

•−

•−

•−

•−

−

•

•

•

•

•

•

•

•

•

•

•

•

•

•

•

•

Incremental

Value

Enablement Reuse

User

Empowerment Integration/

Aggregation Composite Solutions Platform

Componentization

Capabilities

Composition

Semantics

Composition

User

Experience

IT

Requirements

• Components

• Containers

• Security

• Federation

• Governance

• Developers

• Business

Users

• Component

Metadata

Componentization

Capabilities

• Components

• Office

Clients

Composition

Semantics

Composition

User

Experience

IT

Federation &

Governance

Requirements

• SharePoint

Foundation

• SharePoint

2010

•SharePoint UI

• SharePoint

Designer

• Visual Studio

Components

Metadata

21

Microsoft SharePoint 2010

Ribbon UI

SharePoint Workspace

SharePoint Mobile

Office Client and Office Web App Integration

Standards Support

Tagging, Tag Cloud, Ratings

Social Bookmarking

Blogs and Wikis

My Sites

Activity Feeds

Profiles and Expertise

Org Browser

Enterprise Content Types

Metadata and Navigation

Document Sets

Multi-stage Disposition

Audio and Video Content Types

Remote Blob Storage

List Enhancements

Social Relevance

Phonetic Search

Navigation

FAST Integration

Enhanced Pipeline

PerformancePoint Services

Excel Services

Chart Web Part

Visio Services

Web Analytics

SQL Server Integration

PowerPivot

Business Connectivity Services

InfoPath Form Services

External Lists

Workflow

SharePoint Designer

Visual Studio

API Enhancements

REST/ATOM/RSS

Use

rs

Knowledge

Management

Portal

Regulatory

Compliance

Repository

Corporate

Web

Presence

Sales

Division

Portal Custom

SAP

Front-End Team “ABC”

Site Project “X”

Site

My

“Facebook”

Business

Intelligence

Dashboard

R&D

Community

Division

Office

Site

Employee

Portal

Extranet

Collab

Site

Teams Corporate Departments

Empowerment

Self-service solutions/platform (Tail)

• Team dashboards

• Divisional BI Portals

•

•

•

•

•

•

•

•

Data Sources

Staging Area

Manual

Cleansing

Data Marts

Data Warehouse

Client

Access

Client

Access

1: Clients need access to data 2: Clients may access data sources directly 3: Data sources can be mirrored/replicated to reduce contention 4: The data warehouse manages data for analyzing and reporting 5: Data warehouse is periodically populated from data sources 6: Staging areas may simplify the data warehouse population 7: Manual cleansing may be required to cleanse dirty data 8: Clients use various tools to query the data warehouse 9: Delivering BI enables a process of continuous business improvement

•

•−

−

•

•−

−

HR Finance Inventory

Data Warehouse

Call Center

Web Apps

Inventory

ERP HR

Finance

CRM

•−

−

−

−

−

−

•

−

−

−

−

−

•

Sales Finance Product

Association

•

•

•

•

•

•

•

•−

−

•−

−

−

Reseller sales data by:

• Product

• Order Date

• Reseller

• Employee

• Sales Territory

Sales quota data by:

• Employee

• Time

Day grain

Quarter grain

•

•

•

•−

•

•

•

Tip: Format the key of the dimension as

YYYYMMDD (i.e. 20101201) to make it readily

understandable

•

•

•

−

−

−

The concept of Slowly Changing Dimensions

was introduced by Ralph Kimball

•

•

Type 1

LastName

update to

Valdez-

Smythe

•

•

•

Type 2

SalesTerritoryKey

update to 10

1.

2.

3.

ETL

Y

Insert new

record

Update changed

column(s)

Expire existing

record

Transform Correlate

records

N

N

Y

Type 2

change?

Y

Type 1

change?

New record?

Dimension

source

Y

Insert new

record

Insert new

dimension record

Lookup

dimension key

N

Lookup failed?

Repeat for each

dimension key

Transform Fact

source

Planning Business

Requirements

Definition

Technical

Architecture

Product

Selection

Dimensional

Modeling

Physical

Design ETL

BI

Application

Specification

BI

Application

Development

Growth

Maintenance

Deployment

•

•

•

•

•

•

•

•

•

•

•

•−

−

−

−

−

•

•

•−

−

Control flow and data flow

will be introduced in the

following two presentations

•

•

•

•

•

•

•

•

•

•−

−

−

•

•−

−

Authoring Reports

1 Express edition only supports local SQL Server

Workgroup edition supports SQL Server and Analysis Services only

2 Not available in Web and Express Editions

•

•−

−

•

•−

−

−

•−

−

•−

−

−

Delivering Reports

1 Not available in Workgroup or Express editions

2 Enterprise Edition only

3 Enterprise and Standard Editions only

•−

−

•−

−

−

−

•

•

•

•

N/A

Q1

Q2

Q3

Measures Dimension

Sales

Ter

ritor

y

Q4

Pacific

Europe

North America

N/A

Q1

Q2

Q3

Measures Dimension

Sales

Ter

ritor

y

Q4

Pacific

Europe

North America

N/A

Q1

Q2

Q3

Measures Dimension

Sales

Ter

ritor

y

Q4

Pacific

Europe

North America

N/A

Q1

Q2

Q3

Measures Dimension

Sales

Ter

ritor

y

Q4

Pacific

Europe

North America

N/A

Q1

Q2

Q3

Measures Dimension

Sales

Ter

ritor

y

Q4

Pacific

Europe

North America

5,005,000

What sales did we

expect to achieve

in North America

for CY 2004 Q1?

•−

−

−

−

•−

−

The Data Mining component will

be covered in a later module

•

−

−

•−

•−

−

−

−

−Enterprise Edition only

•

•

•

•

•

•

•

•

Community BI

Organizational BI

Self-Service & Personal BI

Excel & PowerPivot Add-in

Visio & Visio Services

Excel Services

Report Builder Chart Web Parts & Status

Indicators

PerformancePoint Services

Reporting Services

INSIGHTS

Chart Web Parts & Status

Indicators Visio Services

PerformancePoint

Services Excel Services

Business Connectivity

Services

•

•

•

•

•

Interactive PivotTables

Sparklines for better data visualization

• upports server-side calculation and browser-based rendering of Excel workbooks

• Centralizes shared workbook content across organization

• Supports the following scenarios: − Display entire workbook as-is or display selected portions of

workbook

− Perform what-if analysis by accepting user input through parameters

− Integrate workbooks with analytical applications

•

•

•

•

•

• Consolidates data from multiple data sources

• Provides visualization of multidimensional data using a decomposition tree

• Supports the following scenarios: − Monitor organizational progress towards established goals

− Perform interactive browser-based analysis with analytical reports

Visual scorecards integrated with SharePoint

Detailed KPIs &

decomposition tree

Analytics Monitoring

•

•

•

•

•

•

•

•

•

•

70 Strictly NDA - Microsoft Confidential

Microsoft EDW

Sensors Devices Bots Crawlers ERP CRM LOB APPs

Hadoop On Windows

Azure

Hadoop On Windows Server

Connectors

Unstructured and Structured Data

S S RS

SSAS

BI Platform

Familiar End User Tools

PowerView Excel with PowerPivot Embedded BI Predictive Analytics

7

1

• Database Engine

• SMB support for database / backup files (Windows Server 8 Storage Spaces…)

• New UTF-16 database character encoding support

• Improved database table/index partitioning (15K max partitions)

• Improved database FILESTREAM scale and performance

• Improved database FILESTREAM access via FileTable

• Spatial data type improvements

• Analysis Services

• Increased OLAP string store limit (4 GB)

• New “Tabular Server Mode” adds VertiPaq engine support (same engine as PowerPivot)

• New partitioning and paging support for VertiPaq Engine

Better Storage Options

• New columnstore index technology

• Improved full-text search

• New statistical semantic search

• Automatic term extraction from content

• Discover semantic similarities between documents

Improved Indexing and Search (Database Engine)

7

2

• Database Engine

• New contained database support eliminates server login dependencies

• DAC support for permissions and role membership

• Improved database server roles support customization

• Improved database default schema support for groups

• VertiPaq Engine (Analysis Services / PowerPivot)

• New role-based security model

Security

• Database Engine (AlwaysOn)

• Integrated solution across shared and non-shared storage

• Support for multiple secondaries

• Support for multi-site failover clusters

• Support for FILESTREAM

• StreamInsight: New checkpoint support

High Availability

• Database Engine

• AlwaysOn: readable secondaries (reporting, backups, etc.)

• Improved online operations

• New local database runtime support in SQL Server Express

Resource Utilization

7

3

• Supportability

• Windows Server Core support

• Setup support for slipstream upgrade

• Database Engine

• AlwaysOn: New availability groups support application-centric failover

• DAC Fx: Support for in-place database schema upgrades

• New Database Recovery Advisor

• Support for extended event tracing and distributed replay

• Analysis Services

• Sysprep support

• Integration Services

• New management / diagnostics tools

• Reporting Services

• Improved SharePoint Integration

Manage Efficiently at Scale

• Database Engine: Improved Audit

• Data Quality Services: Support for end user, rule-based data cleansing

Governance

7

4

• New BI Semantic Model

• Unified model for reporting, analytics, scorecards and dashboards

• Support for relational and multidimensional APIs

• Model can be cached (VertiPaq) or pass through (DirectQuery)

Rich Modeling Capabilities

• New PowerPivot release

• Usability improvements

• Improved DAX expression and query language

• New Power View thin client in Reporting Services / SharePoint

• Presentation-ready at all times

• Visual, interactive design experience

• Rich metadata-driven interactivity

• New support for Data Alerts in Reporting Services / SharePoint

• Defined directly within reports

• Intuitive Alert rules

• Alerts self-managed through SharePoint

Self-Service Reporting, Analytics and Alerting

7

5

• Improved Transact-SQL Programmability

• New ANSI-Standard support for results paging (OFFSET / FETCH)

• New ANSI-Standard support for sequence generators

• New THROW statement addresses RAISERROR limitations

• Robust metadata discovery

• Service Broker improvements

• Improved deployment and upgrade with Data-tier applications (DAC Fx)

• Improved SQL Server / SQL Azure parity

• Support for more Transact-SQL constructs (e.g. sequence generators, spatial types / indexes)

• Support for both schema and data

• Improved Entity Framework ORM functionality

• Code first support

• Improved SQL Server support (Spatial types, stored procedures, table-valued functions)

• Improved performance, scale and diagnostics

• REST access via WCF Data Services and Odata

• Improved StreamInsight CEP functionality

Productive Database Development

joann@microsoft.com

William.Pearce@appliedis.com