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Talend Training – The only Course you need

⏰36 hours | ▶️ 36 Videos | 📣 8165 Participants | 🎓 3582 Reviews | 4.7 ⭐⭐⭐⭐⭐

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June 13(1 HR A DAY)
06:30 PM PST
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June 26(1 HR A DAY)
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 Weekend 

June 22(1 HR A DAY)
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Upcoming Batches IST

 Weekday 

June 14(1 HR A DAY)
07:00 AM IST
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 Weekday 

June 26(1 HR A DAY)
06:30 PM PST
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 Weekend 

June 23(1 HR A DAY)
08:00 PM IST
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Course Description

To do reporting and analysis, ETL is the process of querying, processing and merging data from several sources into a single repository.

Data integration compiles information from various sources into a single, standard file format. This is done to save time.

An overview to the principles of data integration and ETL procedures, as well as an overview of the architecture of Talend ETL, is presented at the beginning of the Talend training course.

The students will acquire the knowledge necessary to define the data sources, data targets, and data mappings for various ETL procedures.

In addition, the Talend Data Integration System and its constituent parts, such as the Talend Studio, the Talend Job Server, and the Talend Repository, will be dissected over the duration of the training.

Students will learn from this training course with a fundamental understanding of Talend, an open-source data integration platform, and the skills necessary to use it.

Talend is an open-source ETL (Extract, Transform, Load) tool that can be used for a variety of data management and data integration projects.

It possesses a diverse collection of components that simplify the process of data management and collaboration across a wide range of applications.

Students will be instructed throughout the Talend class on creating and executing data integration jobs using Talend.

They will become acquainted with the features of Talend, its many different components, as well as the overarching ideas and best practices that are associated with the platform.

It will give a hands-on training experience with functional examples and use cases throughout the program.

Students will get familiar with the mapping techniques utilized in designing efficient data transformation procedures.

In addition, students will become acquainted with more complex transformations such as aggregation, sorting, lookup, and join operations.

They will acquire the skills to construct data integration projects by integrating various data sources and objectives through Talend Studio.

In addition, additional capabilities of the Talend ETL tool, such as dynamic data integration, scheduling, and monitoring, as well as debugging and error checks, will be covered in Talend course.

You will be given the title of Certified Professional if you can complete Talend online training course without committing significant errors.

This will set you apart from competitors by providing a strategy that successfully demonstrates your competence in the field that you pick from those applicable to the discussion.

This will be valuable to you because it will increase the possibility of your successes coming to fruition, increasing the likelihood that they will come to completion.

In addition to this, it will position you ahead of the other rivals that are operating in this sector of the market.

Everyone interested in earning a certification will have access, within a short time, to CloudFoundation wide diversity of training programs, which will be available to them.

CloudFoundation provides comprehensive training courses, the focus of which is on core ideas that are related to the Talend certification.

You can get more information about these classes on their website.

Students will acquire the abilities essential to thrive in a world that is becoming gradually data-driven due to their participation in this course.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1.Data Modeling Concepts

  • Understanding the basics of Data Modeling and its significance.
  • How to deploy Data Modeling in Data Warehouse environment.

2.Deep Dive into Data Modeling

  • The various types of Data Modeling
  • Learning to perform Conceptual Data Modeling
  • Physical Data Modeling
  • Logical Data Modeling
  • Understanding the scope and benefits of Data Modeling.

3. Multidimensional Data Modeling

  • The Basic Architecture of multidimensional modeling
  • Deploying cubes to perform multidimensional modeling
  • Understanding the concepts of Facts and Dimensions and the differences between the two.

4. Introduction to Talend

  • The Talend Open Source data integration tool
  • Working with Big Data
  • Understanding the Talend Open Studio.

5. Talend Installation

  • Understanding the installation of Talend
  • System requirements
  • Troubleshooting of common errors
  • Issues related to installation.

6.Talend Key Features

  • Learning about the Talend Architecture
  • Important concepts and features
  • Talend components like Job
  • Workspace
  • Metadata

7.Talend Job Creation

  • Learning to create a Talend Job
  • Working with Delimited file
  • Working with Meta Data
  • Schema for data integration
  • Understanding propagation
  • Deploying of tFilterRow and string filter for creating Jobs
  • Creation of CSV file.

8.Data Management Techniques

  • Deploying Talend Open Studio for Data Management
  • Data quality
  • Integration
  • Understanding the ETL and Data Warehousing concepts.

9.Schema & Data Aggregation

  • Detailed understanding of Talend Job design and its features
  • Learning about tMap
  • Data aggregation techniques
  • tReplicate for performing different operations on a Schema
  • tMap for mapping input and output data.

10.Data Source Connection

  • Working with Data Source Connection
  • Deploying in the database component
  • Creating a connection
  • Database source and target
  • Metadata and schema importing.

11.Talend Routines/Functions

  • Introduction to Talend Functions
  • Calling and deploying the functions
  • Understanding routines
  • Talend Open Studio for XML data processing
  • Date format function.

12.Data Transformation

  • Transforming Data
  • Running the Job
  • Combining Columns
  • Duplicating a Job

13.Working with Metadata

  • Creating Metadata
  • Joining Data Sources.

14.Data Corrections

  • Capturing Rejects
  • Correcting the Lookup
  • Duplicating a Job

15.Data Filtering

  • Filtering Output Data
  • Using Multiple Filters.

16. Context Variables

  • Using Context Variables from Talend Job
  • Repository as Metadata.

17.Graphical Interface of Talend

  • Building Jobs
  • Graphical Jobs
  • Graphical Interface of Talend
  • Talend’s Components
  • Naming Convention

18.Trigger

  • Row – Main Connection
  • Row – Iterate Connection
  • Trigger – On sub Job ok Connection
  • Trigger – On Component OK Connection

19.File Management

20.File Management in Talend

21.Connecting Talend with Hadoop

  • Deploying Talend to work with Hadoop
  • Defining the ETL method
  • Hive implementation with Talend
  • Importing data in Hive
  • Hive partitioning
  • Pig in Talend
  • Data loading
  • Parallel data execution.

FAQ’s

❓ Do you offer any discount/offer?

✅ Yes, offers keep changing from time to time. You can chat with us or call our training coordinator for more details.

❓ Is there any demo video which I can watch before enrolling to the course?

✅ Yes, we have provided a Demo video section on each course page so that you can get a glimpse into the course you want to enroll.

❓ How soon after signing up would I get access to the learning content?

✅ Yes, we will provide access to all the learning materials after the complete payment for the course.

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