Pentaho(Pdi) Fundamentals And Dwh Concepts

This Pentaho(PDI) course covers the Pentaho fundamentals and Data Warehouse Concepts

What you'll learn
Learn the Basic Overview of Data Warehouse
Learn the difference between Job and Transformation in Pentaho
Learn the different Transformation Steps in Pentaho
See the difference between Parameter and Variable.
Learn how to pass a variable and Parameter to Transformation Step
Learn the different types of Joins used in Pentaho
Learn how to apply If else Conditions in Pentaho
Lookup Steps in Pentaho
Requirements
All you need a Computer machine; windows, Mac, and Linux users are all welcome
Tools: MYSQL,Pentaho Data Integration ETL Tool
Very Basic Database/SQL concepts are required
Description
Brief Introduction:Pentaho Data Integration (PDI) provides the Extract, Transform, and Load (ETL) capabilities.Through this process,data is captured,transformed and stored in a uniform format.Some of the features of Pentaho data integration tool are mentioned below.Data migration between different databases and applications.Huge volume of data can be loaded from different heterogeneous sources. Data Cleansing with steps ranging from very simple to very complex transformations.Components of Pentaho:Below are the components of Penatho data integration tool.Spoon.bat––It is User Interface used to create Jobs and Transformation.Pan.Bat–––It is used to run transformation from the command line.Kitchen.Bat–-It is used to run Jobs from the command line.Carte.Bat––Execute your Jobs and Transformation on Web Server.Encr.Bat–––Helps you to generate encrypted passwords.Career Perspective:If you want to pursue a career as an ETL developer,you should definitely consider taking this course.Most importantly,If you learn one ETL tool whether it's Pentaho or Informatica,learning other ETL tools won't be difficult.Also,the demand of ETL developer is keep on increasing as the data size is increasing. After this Course:Once you are done with the course,you will have maximum knowledge of all the transformation steps that are required to clean the data.Furthermore,you can apply all the attained knowledge in the industry.Cheers..!!Have a Great Learning..!!!

Overview

Section 1: Overview of Data Warehousing

Lecture 1 Overview of OLTP

Lecture 2 Data Warehousing Concepts

Lecture 3 Benefits and Limitations of Data Warehouse

Lecture 4 ETL in Data Warehousing

Lecture 5 ETL vs ELT

Section 2: Overview of Dimensional Modeling

Lecture 6 Dimensional Modeling Overview

Lecture 7 Star Schema,Snowflake Schema and Galaxy Schema

Lecture 8 Dimensional Modeling Design Steps

Section 3: Pentaho Data Integration Input and Output Steps

Lecture 9 Pentaho Data Integration Tool Installation Guide

Lecture 10 Install Mysql and Connect to Pentaho

Lecture 11 Pentaho Data Integration Components

Lecture 12 PDI Input and Output Steps Part 01

Lecture 13 PDI Input and Output Steps Part 02

Lecture 14 PDI Input and Output Steps Part 03

Section 4: Pentaho Data Integration Transformation Steps

Lecture 15 Transformation Steps Part-01

Lecture 16 Transformation Steps Part-02

Lecture 17 Transformation Steps Part-03

Lecture 18 Transformation Steps Part-04

Lecture 19 Transformation Steps Part-05

Lecture 20 Transformation Steps Part-06

Lecture 21 Transformation Steps Part-07

Section 5: Pentaho Data Integration Flow Transformation Steps

Lecture 22 Flow Transformation Steps Part-01

Lecture 23 Flow Transformation Steps Part-02

Lecture 24 Flow Transformation Steps Part-03

Section 6: Pentaho Data Integration Join Steps

Lecture 25 Inner Join

Lecture 26 Cartesian Product

Lecture 27 Outer Joins

Lecture 28 Pentaho Joins Steps Part-01

Lecture 29 Pentaho Joins Steps Part-02

Section 7: Pentaho Data Integration Transformation Steps Advanced Level

Lecture 30 Stream Lookup Step in Pentaho

Lecture 31 Database Lookup Step in Pentaho

Lecture 32 Database Join Step in Pentaho

Lecture 33 Data Validation Step in Pentaho

Section 8: Web Services

Lecture 34 Consuming REST Service in Pentaho

Lecture 35 Consuming SOAP Service in Pentaho

Section 9: SCD & CDC Implementation in Pentaho

Lecture 36 Slowly Changing Dimensions

Lecture 37 SCD Type 1 Implementation

Lecture 38 SCD Type 2 Implementation

Lecture 39 Change Data Capture(CDC) Implementation

Lecture 40 Change Data Capture - Method 2 Part-01

Lecture 41 Change Data Capture - Method 2 Part-02

Section 10: Pentaho Data Integration Jobs

Lecture 42 Overview of Jobs in Pentaho

Lecture 43 Job Steps Part-02

Lecture 44 Parameters and Variables in Pentaho

Lecture 45 Parameter within Scope

Section 11: Metadata ETL Injection Step Example

Lecture 46 Pentaho Metadata Injection Part-01

Lecture 47 Pentaho Metadata Injection Part-02

Professionals who want to learn new ETL tool to enhance their career.,Students who want to have a career in the field of Data warehouse/ETL developer