An introduction to Pentaho
Upcoming SlideShare
Loading in...5

An introduction to Pentaho



A short introduction to Pentaho, how can it be used for business intelligence. How

A short introduction to Pentaho, how can it be used for business intelligence. How
can it help us in our processing of big data on Hadoop ?



Total Views
Slideshare-icon Views on SlideShare
Embed Views



0 Embeds 0

No embeds



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment

    An introduction to Pentaho An introduction to Pentaho Presentation Transcript

    • Pentaho  What is it ?  Pentaho Server  Pentaho Client  Plugins  Big Data / Hadoop  Architecture  Screen Shots
    • Pentaho – What is it ?  It is a business intelligence system  It offers Analytics Visual data integration OLAP Reports Dashboards Data mining ETL  Written in Java
    • Pentaho – What is it ?  Offered as Free community edition Purchased enterprise edition  Available for Windows Linux Mac OSX  Community supported  Open source plugins available  Uses the Apache Java Application Server
    • Pentaho – Server Pentaho server components  BI / BA Platform - the core platform, hosts contents and offers services  Analysis (Mondrian) – an OLAP server, query via MDX, XML In memory data aggregation  Dashboard Designer (PDD) – supports monitoring / decision making  Analysis (PAZ) – drag and drop OLAP viewer, create MDX queries  Reporting (PIR) – plugin for adhoc reports  Data Access – create data sources / define data models  Mobile – extends Pentaho to the mobile world Dashboards and reports on a small screen
    • Pentaho – Client Pentaho client components  Data Integration (PDI) – Kettle ETL engine, single node / cloud  Big Data – ETL for Hadoop / NoSQL databases  Report Designer – codeless report creation  Data Mining – uses Weka for pattern searching and trend prediction  Meta Data (PME) – create business models of data sources  Aggregate Designer (PAD) – pre calculation for aggregation  Schema Workbench (PSW) – OLAP cube analysis  Design Studio (PDS) – automation / business logic task support
    • Pentaho – Plugins Pentaho plugins  Ctools – free / open source tools by webdetails  Charting (CCC) – create dashboard charts  Build Framework (CBF) – release management for Pentaho apps  Data Access (CDA) – common layer for data access  Data Browser (CDB) – visual OLAP data browser  Distributed Cache (CDC) – high performance, scalable shared cache  Data Generator (CDG) – for dashboard creation Creates tables, data and Mondrian schema
    • Pentaho – Plugins Pentaho plugins  Data Validator (CDV) – data integrity via validation tests  Graphics Gen (CGG) – server side rendering of charts as images  Dashboard Editor (CDE) – sophisticated community dashboard editor  Dashboard Framework (CDF) extendable, AJAX based dashboard framework  Startup Tabs (CST) – define start up tabs by user  Saiku – analysis suite / open source  Saiku Reporting – drag & drop report design tool
    • Pentaho – Big Data What are Hadoop's characteristics ? Mainly command line driven Minimal built in processing / filtering / validation options No drag & drop ETL like job creation What can Pentaho bring to Hadoop ? Visual drag & drop job creation Visual reports Ad / Hoc querying Dashboards And more … It would be a good extension to Hadoop's core functionality
    • Pentaho – Architecture
    • Pentaho – Screen Shots – Drag & Drop ETL
    • Pentaho – Screen Shots – Dashboards
    • Pentaho – Screen Shots – Reports
    • Contact Us  Feel free to contact us at  We offer IT project consultancy  We are happy to hear about your problems  You can just pay for those hours that you need  To solve your problems