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TALEND - Data Integration & ETL with Talend
Rating: 4.2 out of 5(82 ratings)
15,555 students

TALEND - Data Integration & ETL with Talend

Master Talend Data Integration with our comprehensive course, from beginner to expert, through real-world projects
Created byEDUCBA Bridging the Gap
Last updated 7/2024
English
English [Auto],

What you'll learn

  • Introduction to Talend Data Integration Studio: Understand the basics of Talend, including downloading and setting up the software, navigating the interface
  • Data Integration Fundamentals: Learn core concepts of data integration, job design, running jobs, basic settings configuration, and efficient data management.
  • You will learn how to perform various tasks in the Talend software and how these tasks help you with the data you process
  • At the end of the course, you will be able to perform data management on even large size data with the help of several Talend features.
  • Database Connections and Operations: Gain hands-on experience connecting Talend to databases like MySQL, performing operations on database tables
  • Advanced Data Transformation with TMap: Explore the TMap component, its use cases, and implementation strategies for complex data transformations and filtering
  • Intermediate Talend Techniques: Enhance your skills with advanced job design, using Java components within Talend, and managing context parameters
  • Real-World Projects: Apply your knowledge to practical projects such as enabling insurance firm operations, analyzing credit card transactions, and optimizing
  • Project Management and Best Practices: Learn to design and manage jobs efficiently, implement documentation practices, and utilize advanced Talend components
  • Metadata Management and Custom Components: Understand the importance of metadata in Talend, how to manage it, and how to create and use custom components
  • By the end of this course, students will be proficient in using Talend Data Integration Studio to design, implement, and optimize data integration jobs

Course content

6 sections • 57 lectures • 7h 53m total length

  • Introduction to Course15:06

    Explore Talend data integration studio as a beginner and learn open studio basics. Design end-to-end ETL pipelines with databases, delimited files, and map and join components.

  • Download1:38

    Download and install Talend data integration studio from the Talend website, choosing open source or enterprise editions for Windows or Mac, and run the installer.

  • Data Integration10:28

    Install Talend Studio, create your first project and job, and run a hello world task, exploring the repository view, workspace, and basic project management features.

  • Job Designs7:23

    Learn to design Talend data integration jobs by managing major and minor version increments, using a development environment, and assembling components to build and run a hello world message.

  • Basic Run9:56

    Rename components in the designer window to clearly identify each message box and its purpose. Navigate the job window to manage versions, contexts, and component properties for clearer Talend jobs.

  • Basic Setting10:27

    Read a delimited data file with the file input delimited component, print contents to the console via the log raw component, and configure path and schema for the job.

  • Filter Data12:57

    Filter data in Talend by configuring the input delimited file with separators, header settings, and row limits, and propagate the schema across components via dialog rule.

  • T-File9:54

    Learn to create a file output delimiter in Talend, read a CSV, write to a pipe-delimited output with header, sync schemas, and propagate changes across components.

  • Connecting to Database9:49

    Learn to connect to a database with Talend Open Studio, create a job to read data from a table, and display results on the console.

  • Working with MySQL DB13:06

    Connect to a MySQL database in Talend, create a database and table, insert data, and run a job to select and display records, reusing connections and defining schemas.

  • Reading Data from Source File8:29

    Learn to read data from a source file and write it into a database using Talend data integration and etl, establishing a MySchool connection, running queries, and controlling component execution.

  • Best Practises6:10

    Learn how to read a pipe-delimited input file in Talend, define the schema, map to a DB output, and run the job to insert employee records.

  • Various Operations on DB Tables6:53

    Learn to build and reuse Talend jobs, copy connections between jobs, and align input and output schemas while choosing create table or update actions.

  • Various Operations on DB Tables Continue6:55

    Explore creating tables, inserting records, ensuring data integrity, and handling input and output while committing transactions in Talend data integration and ETL workflows.

  • How to use TMap Component7:26

    Learn to use tMap component in Talend to transform data, generate data with a row generator, and configure fields like id, first name, last name, years of experience, and state.

  • How to use TMap Component Continue9:00

    Explore using Talend tMap to transform synthetic employee data generated by a data generator, join first and last names, compute experience bands, and assign state and country for output.

  • TMap use Case Implementation9:12

    Explore Talend TMap use case implementation: merge first and last names, classify employees into bands by experience, and set a default country while mapping input to output fields.

  • TMap use Case Implementation Continue9:22

    Master TMap use case implementation by mapping an employee name from first and last names, then categorize experience into bands using conditional expressions and a default value.

  • Tjoin6:44

    Learn Tjoin in Talend data integration and ETL, using map transformations to define output schemas with headers, and filter employee records by experience less than seven.

  • Tfilter Component8:11

    Apply the tfilter component to filter employee data by experience and generate an output file; then join with a lookup file to identify nonmatching records using inner join logic.

Requirements

  • Basic Understanding of Databases: Familiarity with database concepts and operations, such as SQL queries and data management, will be beneficial.
  • Basic Programming Knowledge: Some experience with programming languages, particularly Java, can help in understanding and utilizing Talend's advanced features.
  • Computer Literacy: Proficiency in using a computer and basic software applications is essential for navigating Talend Data Integration Studio and performing data integration tasks.
  • Internet Connection: A stable internet connection is required to download Talend software, access course materials, and perform cloud-based operations if needed.
  • Talend Data Integration Studio: Ensure that you have downloaded and installed Talend Data Integration Studio on your computer before starting the course.
  • Motivation to Learn: A keen interest in data integration and a willingness to learn new tools and techniques will enhance your learning experience.
  • By meeting these prerequisites, students will be well-prepared to dive into the course and maximize their learning outcomes.

Description

Introduction

Welcome to Talend Data Integration Studio: From Beginner to Expert, your comprehensive guide to mastering Talend’s powerful data integration tools. Whether you're a novice stepping into the world of data integration or a professional looking to refine your skills, this course will equip you with the knowledge and hands-on experience needed to effectively utilize Talend Data Integration Studio.

Section 1: Talend Data Integration Studio - Beginners

In this section, you will be introduced to the basics of Talend Data Integration Studio, starting from downloading the software to executing your first data integration job. You will learn how to design jobs, configure basic settings, and perform fundamental data operations. Additionally, you will explore how to connect to databases, work with MySQL, and implement best practices for data integration.

Section 2: Talend Data Integration Studio - Intermediate

Building on the foundational skills from the beginner section, this part of the course delves deeper into the intermediate functionalities of Talend. You will learn to create folders, use T Java components, and work with Java row components. The section also covers the use of context parameters to enhance the flexibility and reusability of your data integration jobs.

Section 3: Project on Talend - Enabling Insurance Firms Operations

This project-based section focuses on a real-world application of Talend in the insurance sector. You will gain hands-on experience by navigating the Talend Studio, implementing best practices, and debugging techniques. The project involves reading files, addressing common file read issues, and storing data files, providing a practical understanding of Talend’s capabilities.

Section 4: Project on Talend - Credit Card Transactions

In this section, you will work on a project involving the integration and analysis of credit card transactions. Starting with a clear problem statement, you will learn to connect Excel files to databases, store sample data in SQLite, and incorporate Java code to enhance your data processing workflows. This project demonstrates the application of Talend in financial data analysis.

Section 5: Project on Talend - Optimizing Retail Firms Operations

This project targets the retail industry, where you will design jobs to optimize retail operations. The section covers sorting techniques, documentation practices, and advanced components like T-Filter and Child Job. You will also learn to create new delimited files and utilize task catcher and log catcher components for better job management and monitoring.

Section 6: Project on Talend - Creating a Sample Job

The final section focuses on creating a complete sample job from scratch. You will explore the features of Talend Tool, create multiple jobs, and dive deep into metadata management. The section also covers the use of various components and building jobs, along with demo routines to illustrate advanced functionalities and best practices.

Conclusion

By the end of this course, you will have a thorough understanding of Talend Data Integration Studio, from basic to advanced levels. You will be equipped with the skills to design, implement, and optimize data integration jobs across various industries.

Who this course is for:

  • Data Integration Professionals: Individuals working in data integration roles who wish to enhance their skills and efficiency using Talend Data Integration Studio.
  • Database Administrators: DBAs looking to automate data processing and improve data management practices within their organizations.
  • Data Analysts: Analysts who need to extract, transform, and load (ETL) data for analysis and reporting purposes.
  • Developers: Software developers interested in learning data integration techniques and incorporating them into their development projects.
  • Business Intelligence Professionals: BI experts seeking to streamline their data workflows and improve data quality and accessibility.
  • Students and Graduates: Individuals pursuing studies in data science, computer science, or related fields who want to gain practical experience with a powerful ETL tool.
  • IT Managers and Decision Makers: Those responsible for implementing data integration solutions within their organizations and who want to evaluate the benefits of using Talend.

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