Pentaho 30 for 30 QUICK START EVALUTATION. Aakash Shah

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1 Pentaho 30 for 30 QUICK START EVALUTATION Aakash Shah

2 You just downloaded a comprehensive data integration and business analytics platform and you have 30 days to evaluate Pentaho for your company

3 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

4 GET ACQUAINTED WITH PENTAHO COMPONENTS

prepare data from diverse data sources such as relational databases, NoSQL databases and

5 Introducing Pentaho Pentaho 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.

6 Workstation Server Thin Client Component Architecture Analyzer Web Portal Interactive Reporting Dashboards J2EE Container (Apache Tomcat) Report Designer HTTP/HTTPS BA Server DI Server PDI Designer Report Designer Metadata Design Publish

7 Data Integration (PDI) PDI

8 BA Server and User Console (PUC) The heart of the BA suite

9 Analyzer Explore and visualize Explore and visualize data

10 Interactive Reporting Ad-Hoc, template-based reports developed in a browser

11 Dashboard Designer Assemble multiple views of data

12 Dashboard Framework Highly tailored, pixel-perfect dashboards

13 Report Designer (PRD) Thick-client report creation tool for pixel-perfect reports

14 Mobile Access and create new content on touch-enabled tablet

15 Purpose-Built Interfaces Mobile Dashboard Designer Dashboard Framework Analyzer Interactive Reporting Report Designer

16 CONNECT TO AND BLEND YOUR DATA

17 What Does Your Data Look Like Structured Data Normalized Data Model Structured Data Single Table / Star / Snowflake PDI ` Unstructured Data Streaming Data Optimized for lowlatency query and analysis

18 Modeling Your Data Single Table / Star / Snowflake Analysis Cube (Analyzer) Analyzer Dashboard Designer Normalized Data Model Metadata (Reporting ) Interactive Reporting

19 Data Access Wizard Quick start for connecting to your database and modeling metadata Single Table / Star / Snowflake Analysis Cube (Analyzer) Normalized Data Model Metadata (Reporting )

20 Data Access Wizard Quick start for connecting to your database and modeling metadata Single Table / Star / Snowflake Analysis Cube (Analyzer) Connect to your data and choose tables Normalized Data Model Metadata (Reporting) Create table joins

21 Data Access Wizard Quick start for connecting to your database and modeling metadata Single Table / Star / Snowflake Analysis Cube (Analyzer) Model a dimensional cube Normalized Data Model Metadata (Reporting) Model SQL-based metadata

22 Interactive Reporting & Analysis Model-driven query using SQL & MDX Single Table / Star / Snowflake Analysis Cube (Analyzer) Analyzer Normalized Data Model Metadata (Reporting ) Interactive Reporting

23 Report Designer Pixel-perfect, prompted production reporting Single Table / Star / Snowflake Analysis Cube (Analyzer) Normalized Data Model Metadata (Reporting)

24 Dashboard Designer Quickly assemble web-based dashboards Analyzer Analysis Cube (Analyzer) Dashboard Designer Report Designer Metadata (Reporting) Interactive Reporting

25 Data Access Wizard Quick start for connecting to your database and modeling metadata Single Table / Star / Snowflake Analysis Cube (Analyzer) Model a dimensional cube Normalized Data Model Metadata (Reporting) Model SQL-based metadata

26 Advanced Modeling Client-based modeling tools for advanced models Single Table / Star / Snowflake Analysis Cube (Analyzer) Schema Workbench Normalized Data Model Metadata (Reporting) Metadata Editor

27 Modeling Options Manage connections and models in one location Schema Workbench Data Access Wizard Metadata Editor

28 Summary - 5 Simple Steps 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

29 UNDERSTANDING SECURITY Multiple layers of security

$Operations-based Security Securing feature \ operations within Pentaho by role Object-level Security Access controls to files, folder, and data sources Data-level Security Securing actual$

30 Security Overview 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

31 INSTALL PENTAHO AND DEVELOP CONTENT

32 Documentation -

33 Review Supported Technologies

34 Install All Components

35 Configure Pentaho Systems JDBC Driver Locations 1. BA Server: /pentaho/server/biserveree/tomcat/lib/ 2. Aggregation Designer: /pentaho/design-tools/aggdesigner/drivers/ 3. Metadata Editor: /pentaho/designtools/metadata-editor/libext/jdbc/ 4. Report Designer: /pentaho/design-tools/reportdesigner/lib/jdbc/ 5. Schema Workbench: /pentaho/design-tools/schemaworkbench/drivers/ 6. Data Integration: /pentaho/design-tools/dataintegration/lib 7. Data Integration Server:/pentaho/server/dataintegrationserver/tomcat/webapps/pentaho-di/WEB- INF/lib/

36 Walk-Through Tutorials

37 Three Ways to Test Drive

38 Additional Resources 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

39 Pentaho Questions? Please questions to Veronika Zatulovskaya As follow up we will be sending you: 1. Slides 2. Recorded webinar 3. Consolidated list of Q&A

40 Thank You

Best Practices for Choosing Content Reporting Tools and Datasources. Andrew Grohe Pentaho Director of Services Delivery, Hitachi Vantara

Best Practices for Choosing Content Reporting Tools and Datasources Andrew Grohe Pentaho Director of Services Delivery, Hitachi Vantara Agenda Discuss best practices for choosing content with Pentaho Business