Udemy - Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0

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Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0 [TutsNode.com] - Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0 3. A Simple ETL Demonstration
  • 2. Demonstration of a PDI transformation.mp4 (136.7 MB)
  • 1. The example problem statement.mp4 (33.3 MB)
  • 1. The example problem statement.srt (7.6 KB)
  • 2. Demonstration of a PDI transformation.srt (22.6 KB)
  • 3. Demonstration of a PDI Job.mp4 (78.7 MB)
  • 3. Demonstration of a PDI Job.srt (17.8 KB)
1. Introduction
  • 1. Welcome to the course.mp4 (24.7 MB)
  • 1. Welcome to the course.srt (4.4 KB)
  • 2. Course Resources.html (0.4 KB)
2. Pentaho Data Integration (PDI) Installation and Setup
  • 1. Setting up environment and installing PDI.mp4 (36.3 MB)
  • 1. Setting up environment and installing PDI.srt (5.3 KB)
  • 2. Opening Spoon - The Graphical UI.mp4 (35.1 MB)
  • 2. Opening Spoon - The Graphical UI.srt (7.5 KB)
4. Basic concepts - Theory for foundational understanding
  • 1. What is ETL.mp4 (14.0 MB)
  • 1. What is ETL.srt (3.6 KB)
  • 2. Data Warehouse, Ops Database and Data mart.mp4 (23.9 MB)
  • 2. Data Warehouse, Ops Database and Data mart.srt (5.5 KB)
  • 3. Inmon vs Kimball Architecture.mp4 (19.0 MB)
  • 3. Inmon vs Kimball Architecture.srt (3.9 KB)
  • 4. ETL vs ELT.mp4 (11.2 MB)
  • 4. ETL vs ELT.srt (3.2 KB)
5. The ETL process The practical part begins here
  • 1. Data and the ETL process.mp4 (72.1 MB)
  • 1. Data and the ETL process.srt (10.3 KB)
6. DATA EXTRACTION Extracting tabular data
  • 1. Manually entering data into PDI.mp4 (61.3 MB)
  • 1. Manually entering data into PDI.srt (11.0 KB)
  • 2. Inputting Data from a TXT (text) file.mp4 (91.3 MB)
  • 2. Inputting Data from a TXT (text) file.srt (13.0 KB)
  • 3. Input from multiple CSV files at the same time.mp4 (86.4 MB)
  • 3. Input from multiple CSV files at the same time.srt (14.1 KB)
  • 4. Inputting Data from an Excel file.mp4 (50.9 MB)
  • 4. Inputting Data from an Excel file.srt (6.9 KB)
  • 5. Extracting Data from Zipped files.mp4 (39.9 MB)
  • 5. Extracting Data from Zipped files.srt (6.8 KB)
7. DATA EXTRACTION Extracting non-tabular data
  • 1. Extracting from XML.mp4 (57.0 MB)
  • 1. Extracting from XML.srt (6.5 KB)
  • 2. Extracting from JSON.mp4 (41.5 MB)
  • 2. Extracting from JSON.srt (5.4 KB)
8. Extracting from an SQL table
  • 1. Plan for importing sales Data.mp4 (10.5 MB)
  • 1. Plan for importing sales Data.srt (3.2 KB)
  • 2. Installing and setting up PostgreSQL.mp4 (58.7 MB)
  • 2. Installing and setting up PostgreSQL.srt (8.6 KB)
  • 3. Creating Sales table in SQL.mp4 (56.8 MB)
  • 3. Creating Sales table in SQL.srt (9.3 KB)
  • 4. Extracting from an SQL table.mp4 (36.0 MB)
  • 4. Extracting from an SQL table.srt (5.6 KB)
9. Storing and Retrieving Data from Cloud storage
  • 1. Storing Data on AWS S3.mp4 (51.0 MB)
  • 1. Storing Data on AWS S3.srt (5.7 KB)
  • 2. Reading data from AWS S3.mp4 (54.9 MB)
  • 2. Reading data from AWS S3.srt (8.0 KB)
10. Merging Data Streams
  • 1. Concepts Merging Data Streams.mp4 (28.6 MB)
  • 1. Concepts Merging Data Streams.srt (7.8 KB)
  • 2. Sorted Merge Step - Merging customer data.mp4 (115.9 MB)
  • 2. Sorted Merge Step - Merging customer data.srt (18.4 KB)
  • 3. Merging product data.mp4 (68.4 MB)
  • 3. Merging product data.srt (9.9 KB)
  • 4. Append data stream - merging sales data.mp4 (104.2 MB)
  • 4. Append data stream - merging sales data.srt (11.5 KB)
11. Data Cleansing
  • 1. Introduction to Data Cleansing.mp4 (29.9 MB)
  • 1. Introduction to Data Cleansing.srt (7.6 KB)
  • 2. Value Mapper Step.mp4 (55.7 MB)
  • 2. Value Mapper Step.srt (6.4 KB)
  • 3. Replace in String Step.mp4 (38.0 MB)
  • 3. Replace in String Step.srt (5.9 KB)
  • 4. Fuzzy Match concepts.mp4 (11.9 MB)
  • 4. Fuzzy Match concepts.srt (3.5 KB)
  • 5. Fuzzy Match Step in PDI.mp4 (79.0 MB)
  • 5. Fuzzy Match Step in PDI.srt (10.8 KB)
  • 6. Fuzzy Match Algorithms.mp4 (36.3 MB)
  • 6. Fuzzy Match Algorithms.srt (9.3 KB)
  • 7. Formula Step and changing data format.mp4 (59.9 MB)
  • 7. Formula Step and changing data format.srt (10.1 KB)
  • 8. Common Data Cleaning Steps.mp4 (17.3 MB)
  • 8. Common Data Cleaning Steps.srt (3.9 KB)
  • 9. Quiz.html (0.2 KB)
12. Data Validation
  • 1. Introduction to Data validation.mp4 (23.5 MB)
  • 1. Introduction to Data validation.srt (5.5 KB)
  • 2. Data_validation 1 - String-to-Int and integer range validations.mp4 (91.0 MB)
  • 2. Data_validation 1 - String-to-Int and integer range validations.srt (11.5 KB)
  • 3. Data validation 2 - Checking Reference Values using stream look-up.mp4 (67.4 MB)
  • 3. Data validation 2 - Checking Reference Values using stream look-up.srt (8.8 KB)
  • 4. Data validation 3 - Order date shipping date using calculator step.mp4 (52.2 MB)
  • 4. Data validation 3 - Order date shipping date using calculator step.srt (5.5 KB)
  • 5. Common Data Validation steps.mp4 (18.8 MB)
  • 5. Common Data Validation steps.srt (4.4 KB)
13. Error Handling
  • 1. Correcting the errors and merging with main stream.mp4 (69.1 MB)
  • 1. Correcting the errors and merging with main stream.srt (11.9 KB)
  • 2. Writing the errors to the log.mp4 (26.3 MB)
  • 2. Writing the errors to the log.srt (3.5 KB)
  • 3. Writing the errors to a separate file.mp4 (39.7 MB)
  • 3. Writing the errors to a separate file.srt (5.9 KB)
14. Transformation and Analytics steps
  • 1. Concatenating Address Fields.mp4 (53.5 MB)
  • 1. Concatenating Address Fields.srt (5.6 KB)
  • 2. Data Aggr

Description


Description

What is ETL?

The ETL (extract, transform, load) process is the most popular method of collecting data from multiple sources and loading it into a centralized data warehouse. ETL is an essential component of data warehousing and analytics.

Why Pentaho for ETL?

Pentaho has phenomenal ETL, data analysis, metadata management and reporting capabilities. Pentaho is faster than other ETL tools (including Talend). Its GUI is easier and takes less time to learn. Pentaho is great for beginners.

How much can I earn?

In the US, median salary of an ETL developer is $74,835 and in India average salary is Rs. 7,06,902 per year. Accenture, Tata Consultancy Services,Cognizant Technology Solutions, Capgemini, IBM, Infosys etc. are major recruiters for people skilled in ETL tools.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade.

We are also the creators of some of the most popular online courses – with over 150,000 enrollments and thousands of 5-star reviews like these ones:

I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! – Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. – Armand

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance.

By the end of this course, your confidence in using Excel will soar. You’ll have a thorough understanding of how to use Microsoft Excel for study or as a career opportunity.

Go ahead and click the enroll button, and I’ll see you in lesson 1!

Cheers

Start-Tech Academy
Who this course is for:

Students who want to have a career in the field of Data warehouse/ETL developer
ETL developers and data process automation developers
Business managers who want to understand the entire ETL process and become capable of implementing it

Requirements

Basic understanding of the data storage concepts will be helpful. Coding background is NOT required for this course

Last Updated 11/2020



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Udemy - Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0

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Udemy - Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0

Torrent hash: 24437716E4639511D9CB200DE65C651E10A3D506