QUICK - Pentahoevents.pentaho.com/rs/680-ONC-130/images/Pentaho 30 - 30 Deck Marketo.pdfIntroducing Pentaho Pentaho BA Suite Pentaho BA Suite consists of Data Integration (DI) and
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Pentaho | 30 for 30QUICK – START EVALUTATION
Aakash Shah
You just downloaded a comprehensive data
integration and business analytics platform and you have 30 days to evaluate
Pentaho for your company
This evaluation will help you:
Get acquainted with Pentaho components
How to connect to and model your data
Install Pentaho and develop content
Leverage Pentaho resources
GET ACQUAINTED WITH
PENTAHO COMPONENTS
Introducing PentahoPentaho BA Suite
Pentaho BA Suite consists of Data Integration (DI) and
Business Analytics (BA) components
DI Components allow you to connect to and extract and
prepare data from diverse data sources such as relational
databases, NoSQL databases and Hadoop.
BA Components help you design metadata model, create
reports and dashboards, and analyze your data.
Component Architecture
Pu
blis
h
HT
TP
/HT
TP
S
J2EE Container (Apache Tomcat)
DI Server
Serv
er
BA Server
Wo
rksta
tio
n
Report DesignerPDI Designer Metadata Design
Th
in C
lien
tWeb Portal
Interactive Reporting
Analyzer
Dashboards
Report Designer
Data Integration (PDI)
PDI
BA Server and User Console (PUC)The heart of the BA suite
Analyzer – Explore and visualize Explore and visualize data
Interactive ReportingAd-Hoc, template-based reports developed in a browser
Dashboard DesignerAssemble multiple views of data
Dashboard FrameworkHighly tailored, pixel-perfect dashboards
Report Designer (PRD)Thick-client report creation tool for pixel-perfect reports
MobileAccess and create new content on touch-enabled tablet
Purpose-Built Interfaces
Mobile Dashboard
Designer
Dashboard
Framework
Analyzer Interactive
ReportingReport Designer
CONNECT TO AND
BLEND YOUR DATA
What Does Your Data Look Like
Structured Data
Normalized Data Model
Unstructured Data
PDI
Streaming Data
Structured Data
Single Table / Star /
Snowflake
Optimized for low-
latency query and
analysis
`
Modeling Your Data
Single Table / Star
/ Snowflake
Normalized Data
Model
Analyzer
Interactive Reporting
Dashboard Designer
Metadata
(Reporting
)
Analysis
Cube
(Analyzer)
Data Access WizardQuick start for connecting to your database and modeling metadata
Single Table / Star
/ Snowflake
Normalized Data
ModelMetadata
(Reporting
)
Analysis
Cube
(Analyzer)
Data Access WizardQuick start for connecting to your database and modeling metadata
Single Table / Star
/ Snowflake
Normalized Data
ModelMetadata
(Reporting)
Analysis
Cube
(Analyzer)
Connect to your data and choose
tables
Create table joins
Data Access WizardQuick start for connecting to your database and modeling metadata
Metadata
(Reporting)
Analysis
Cube
(Analyzer)
Model a dimensional cube
Model SQL-based metadata
Single Table / Star
/ Snowflake
Normalized Data
Model
Interactive Reporting & AnalysisModel-driven query using SQL & MDX
Single Table / Star
/ Snowflake
Normalized Data
Model
Metadata
(Reporting
)
Analysis
Cube
(Analyzer)
Analyzer
Interactive Reporting
Report DesignerPixel-perfect, prompted production reporting
Single Table / Star
/ Snowflake
Normalized Data
Model
Metadata
(Reporting)
Analysis
Cube
(Analyzer)
Dashboard DesignerQuickly assemble web-based dashboards
Metadata
(Reporting)
Analysis
Cube
(Analyzer) Dashboard Designer
Interactive
Reporting
Analyzer
Report
Designer
Data Access WizardQuick start for connecting to your database and modeling metadata
Single Table / Star
/ Snowflake
Normalized Data
ModelMetadata
(Reporting)
Analysis
Cube
(Analyzer)
Model a dimensional cube
Model SQL-based metadata
Advanced ModelingClient-based modeling tools for advanced models
Single Table / Star
/ Snowflake
Normalized Data
Model
Metadata
(Reporting)
Analysis
Cube
(Analyzer)
Metadata Editor
Schema Workbench
Modeling OptionsManage connections and models in one location
Data Access Wizard
Metadata Editor
Schema Workbench
From data to dashboards
1. Review your source data to determine if PDI is needed
Does the data need to be transformed, cleaned or enriched?
Does the data need to be converted to a dimensional model?
Does the data require blending two data sources?
Do you need to parse unstructured data?
Do you need to parse big data such as NoSQL data?
2. Develop your initial metadata and cube models using the web-based Data Access Wizard
3. Create Analyzer Views (visualizations) and possibly Interactive Reports
4. Create Dashboard Designer Dashboards using content from Step 3
5. If required, refine and enhance your existing metadata models with Metadata Editor and Schema Workbench
Summary - 5 Simple Steps
UNDERSTANDING
SECURITY
Multiple layers of security
Multiple layers of security at the core of the BA Suite
• Infrastructure security
• Communication over the network
• User Authentication
• Verifying the user’s identity
• Operations-based Security
• Securing feature \ operations within Pentaho by role
• Object-level Security
• Access controls to files, folder, and data sources
• Data-level Security
• Securing actual rows of data
Security Overview
INSTALL PENTAHO AND
DEVELOP CONTENT
Review Supported Technologies
Install All Components
http://help.pentaho.com/Documentation/5.2/0F0/0I0
Configure Pentaho Systems
JDBC Driver Locations1. BA Server: /pentaho/server/biserver-
ee/tomcat/lib/
2. Aggregation Designer: /pentaho/design-tools/agg-
designer/drivers/
3. Metadata Editor: /pentaho/design-
tools/metadata-editor/libext/JDBC/
4. Report Designer: /pentaho/design-tools/report-
designer/lib/jdbc/
5. Schema Workbench: /pentaho/design-tools/schema-
workbench/drivers/
6. Data Integration: /pentaho/design-tools/data-
integration/lib
7. Data Integration Server:/pentaho/server/data-
integration-
server/tomcat/webapps/pentaho-di/WEB-
INF/lib/
http://help.pentaho.com/Documentation/5.2/0H0
Walk-Through Tutorials
http://help.pentaho.com/Documentation/5.2/0J0
Three Ways to Test Drive
Adaptive Big Data Layer Overview
‒ Watch this video to learn how Pentaho plugs into new Hadoop distributions and other big data stores
Review the Blueprints for Big Data Success
‒ Read this whitepaper to learn about four common big data scenarios
Additional Resources
Pentaho Questions?
Please email questions to Veronika Zatulovskaya
vzatulovskaya@Pentaho.com
As follow up we will be sending you:
1. Slides
2. Recorded webinar
3. Consolidated list of Q&A
Thank You
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