Pentaho Data Integration Introduction

•

48 likes•32,603 views

mattcasters

A gentle and short introduction into Pentaho Data Integration a.k.a. Kettle

Technology

Author of Pentaho Kettle Solutions ,[object Object]

Pentaho Data Integration for BI Business Intelligence! That's what we do.

Pentaho Data Integration – Kettle K ettle E xtraction T ransportation T ransformation L oading E nvironment

Pentaho Data Integration – Extraction ,[object Object],[object Object]

Oracle, SQL Server, etc ,[object Object]

What's hot

Building an Effective Data Warehouse ArchitectureJames Serra

Data Lakehouse Symposium | Day 4Databricks

Data Lake OverviewJames Serra

Building Lakehouses on Delta Lake with SQL Analytics PrimerDatabricks

Power BI ArchitectureArthur Graus

Pentaho-BIEdureka!

Demystifying data engineeringThang Bui (Bob)

Modernizing to a Cloud Data ArchitectureDatabricks

Future of Data EngineeringC4Media

Data Engineering BasicsCatherine Kimani

Intro to Delta LakeDatabricks

ETL VS ELT.pdfBOSupport

Build Large-Scale Data Analytics and AI Pipeline Using RayDPDatabricks

DW Migration Webinar-March 2022.pptxDatabricks

Pentaho | Data Integration & Report designerHamdi Hmidi

Introduction to ETL and Data IntegrationCloverDX (formerly known as CloverETL)

Building End-to-End Delta Pipelines on GCPDatabricks

Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra

Power BI visualsAldis Ērglis

Summary introduction to data engineeringNovita Sari

What's hot (20)

Building an Effective Data Warehouse Architecture

Data Lakehouse Symposium | Day 4

Data Lake Overview

Building Lakehouses on Delta Lake with SQL Analytics Primer

Power BI Architecture

Pentaho-BI

Demystifying data engineering

Modernizing to a Cloud Data Architecture

Future of Data Engineering

Data Engineering Basics

Intro to Delta Lake

ETL VS ELT.pdf

Build Large-Scale Data Analytics and AI Pipeline Using RayDP

DW Migration Webinar-March 2022.pptx

Pentaho | Data Integration & Report designer

Introduction to ETL and Data Integration

Building End-to-End Delta Pipelines on GCP

Data Lakehouse, Data Mesh, and Data Fabric (r1)

Power BI visuals

Summary introduction to data engineering

Similar to Pentaho Data Integration Introduction

Pentaho data integration 4.0 and my sqlAHMED ENNAJI

5 Steps for Architecting a Data LakeMetroStar

Big Data Session 1.pptxElsonPaul2

Datalake ArchitectureTechYugadi IT Solutions & Consulting

Big Data Analytics: From SQL to Machine Learning and Graph AnalysisYuanyuan Tian

Trivadis Azure Data LakeTrivadis

Introduction Big DataFrank Kienle

INF2190_W1_2016_publicAttila Barta

Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama

Is the traditional data warehouse dead?James Serra

Building big data solutions on azureEyal Ben Ivri

Meeting today’s dissemination challenges – Implementing International Standar...Jonathan Challener

Big data and oracleSourabh Saxena

Qo Introduction V2Joe_F

Hd insight overviewvhrocca

Eclipse day Sydney 2014 BIG data presentationSai Paravastu

How to Quickly and Easily Draw Value from Big Data Sources_Q3 symposia(Moa)Moacyr Passador

An Overview of VIEWShiyong Lu

INFOGOV14 - Trusting Your KM & ECM Strategy to SharePointJonathan Ralton

Modernizing Your Data Warehouse using APSStéphane Fréchette

Similar to Pentaho Data Integration Introduction (20)

Pentaho data integration 4.0 and my sql

5 Steps for Architecting a Data Lake

Big Data Session 1.pptx

Datalake Architecture

Big Data Analytics: From SQL to Machine Learning and Graph Analysis

Trivadis Azure Data Lake

Introduction Big Data

INF2190_W1_2016_public

Building the Data Lake with Azure Data Factory and Data Lake Analytics

Is the traditional data warehouse dead?

Building big data solutions on azure

Meeting today’s dissemination challenges – Implementing International Standar...

Big data and oracle

Qo Introduction V2

Hd insight overview

Eclipse day Sydney 2014 BIG data presentation

How to Quickly and Easily Draw Value from Big Data Sources_Q3 symposia(Moa)

An Overview of VIEW

INFOGOV14 - Trusting Your KM & ECM Strategy to SharePoint

Modernizing Your Data Warehouse using APS

Recently uploaded

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j

🐬 The future of MySQL is Postgres 🐘RTylerCroy

A Call to Action for Generative AI in 2024Results

TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc

Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK

WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal

Automating Google Workspace (GWS) & more with Apps Scriptwesley chun

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung

Scaling API-first – The story of a global engineering organizationRadu Cotescu

IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge

How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j

2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong

How to convert PDF to text with Nanonetsnaman860154

Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies

Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun

Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik

Developing An App To Navigate The Roads of BrazilV3cube

Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700

Recently uploaded (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

🐬 The future of MySQL is Postgres 🐘

A Call to Action for Generative AI in 2024

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Unblocking The Main Thread Solving ANRs and Frozen Frames

WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service

Automating Google Workspace (GWS) & more with Apps Script

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Scaling API-first – The story of a global engineering organization

IAC 2024 - IA Fast Track to Search Focused AI Solutions

How to Troubleshoot Apps for the Modern Connected Worker

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

How to convert PDF to text with Nanonets

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Data Cloud, More than a CDP by Matt Robison

Injustice - Developers Among Us (SciFiDevCon 2024)

Developing An App To Navigate The Roads of Brazil

Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...

Pentaho Data Integration Introduction

3. Project manager

6. 650 pages

7. Pentaho Data Integration for BI Business Intelligence! That's what we do.

8. Pentaho Data Integration – Kettle K ettle E xtraction T ransportation T ransformation L oading E nvironment

10.

11. XML files

12. XLS files

13. Xbase files (dBase, Foxpro, etc)

14. File systems information

15. Generated data

16. MS Access files

17. LDAP

18. Geo-data

19. ...

20.

21.

22. partitioning

23. merging

24. joining

25. duplicating

26. clustering (MPP)

27.

28. files

29.

30.

31. Mapping

32. Selecting

33. Filtering

34. Pivotting ...

35.

36. Data warehouse population

37. Partitioned loading

38. Bulk loading

39. Parallel loading

40. Clustering

41.

42. Debugger

43.

44.

45.

46. Plugin eco-system

47. ...

48.

49.

50. All regions on Earth

51. Meet on our Forum : +40,000 posts in 10,000 threads in 4 years

52. Use our JIRA case tracking systems

53. Download more than 10,000 copies of Kettle per month http://www.ohloh.net/projects/3624?p=Kettle http://www.softpedia.com/progClean/Kettle-Clean-80094.html

54.

55. Export data from database to text-file or more other databases

56. Data migration between database applications

57. Exploration of data in existing databases (tables, views, etc.)

58. Information improvement using lookups

59. Data cleaning

60. Application integration

61. Data warehouse population

62. Application integration

63. Report data generation

64. ...

65.

66.

67.

68. Natural fit for additional data sources, targets and transformations

69.

70. Download free study at pentaho.com

71.

72.

73. From Tera-bytes to Peta-bytes

74. Big Data stored in Hadoop (MapReduce) / HDFS / Hive

75. Reduces complexity for developers

76. Leverages standard components like Pentaho Data Integration

77. Drag & drop creation of map and reduce transformations

78. Cooperation with Apache

79. Presentation + Demo : http://vimeo.com/14641559

80.

81. Forum: http://forums.pentaho.org/forumdisplay.php?f=69

82. Case tracker: http://jira.pentaho.org/browse/PDI

83. Continuous Integration Server: http://ci.pentaho.com/job/Kettle

84. Wiki : http://wiki.pentaho.org/ display/EAI

85. IRC Channel: ##pentaho (on Freenode)

86. Mailing list: http://groups.google.com/group/kettle-developers

87. My blog: http://www.ibridge.be

88. My coordinates: mcasters at pentaho dot org

89. Pentaho Books

90.

Pentaho Data Integration Introduction

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Pentaho Data Integration Introduction

Similar to Pentaho Data Integration Introduction (20)

Recently uploaded

Recently uploaded (20)

Pentaho Data Integration Introduction