Talend Course Content

Week 1

Overview on Talend Open Studio and Enterprise Architecture – In depth if needed. Overview on Talend and associated components.

Link Talend Studio to your Talend account, registering a new account if necessary Start Talend Open Studio for Data Integration

Create a Talend project to contain tasks Create a Talend Job to perform a specific task

Add and configure components to handle data input, data transformation, and data output Run a Talend Job and examine the results

Build a visual model of a Talend Job or project

Source and Target systems (read and write) Delimited, Positional, XML, Excel, Database (MySQL) , JSON(on demand) , Advanced XML(on demand), Unstructured (on demand) 

Copy an existing Job as the basis for a new Job

Store configuration information centrally for use in multiple components Extend data from one source with data extracted from a second source Log data rows in the console rather than storing them

Week 2

Troubleshoot a join by examining failed lookups Use components to filter data

Generate sample data rows Execute Job sections conditionally Duplicate output flows

Create a schema for use in multiple components

Create variables for component configuration parameters Run a Job to access specific values for the variables

Employ mechanisms to kill a Job under specific circumstances

Include Job elements that change the behavior based on the success or failure of individual components or subjobs

Deep dive into SubJobs and their relevance with respect to scenarios Filter unique data rows

Perform aggregate calculations on rows

Use components to create an archive and delete files Add comments to document a Job and its components Generate HTML documentation for a Job

Export a Job

Run an exported Job independently of Talend Open Studio Create a new version of an existing Job

Week 3

Context (parameterization): Basic to Advanced scenarios covering 7 levels of Context. Triggers: all types of triggers with job scenarios

How Jobs pass values between different subjobs 

How Component exchange information during run time How to configure runtime servers

Advance error handling and debugging tips and tricks Reusability: Programme/Function, Component, Job: at all levels

week 4

Connect to a Hadoop cluster from a Talend Job Store a raw Web log file to HDFS

HDFS Commands Vs Talend HDFS components Write text data files to HDFS

Read text files from HDFS

Read data from a SQL database and write it to HDFS – SQOOP

List a folder’s contents and operate on each file separately (Iteration) Move, copy, append, delete, and rename HDFS files

Read selected file attributes from HDFS files Conditionally operate on HDFS files Connecting to Hive Shell

Set connection to Hive database using Talend

Create Hive Managed and external tables through Talend Use a Talend Job to load data from HDFS into a Hive table

Use a Talend Job to read data from a Hive table and use it in a Job

Execute Hive commands iteratively in a Talend Job, based on variable inputs

-Advanced Scenarios (real time use case and hands on) Develop and run Pig Jobs using Talend components Sort, join, and aggregate data using Pig components Filter data in multiple ways using Pig components Replicate Pig data streams

Run Talend Jobs with the Apache Oozie Job Manager Develop and run MapReduce jobs

Convert a standard job into a MapReduce job

Create Metadata for your Hadoop cluster connection Configure context variables 

Retrieve the schema of a file using Talend Wizard Send data to Hadoop HDFS

Load multiple files into HDFS Check data with Data Viewer

Sort and aggregate data using MapReduce components Filter data using MapReduce components

week 5

Overview of Talend Administration Console

Talend admin console basic, how to schedule job, create TASK, create Trigger and monitor job Create Servers, Virtual Load balancer

How to clean the Logs from TAC, Memory configuration on TAC: Configuration Management Parameterizing a Talend Job from command line and from TAC (might also get covered under levels of contexts in advance data integration)

Project: Use case discussion

Pending Q&A session (in scope topics only)

FAQ’S

What if I miss one (or) more class?

No need to worry about the classes you missed. We will definitely guide you by having optional classes or by having classes with other batches with the same topic you missed previous classes.

Who is my instructor?

IT professionals who have strong knowledge in technical know how to convey things with the real-time example. Even a layman could understand the concepts which given by our experts.

What are the modes of training offered for this course?

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

What are the system requirements to work?

Minimum 2GB RAM and i3 processor is required

Can I attend a demo session?

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

How about group discounts (or) corporate training for our team?

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Where do Our Online learners and Trainer’s come from

We are providing online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

I have more queries?

If you want to know More Details about Online Training Please Contact us. Or you can share your quires through info@monstercourses.com. Estimated turnaround time will be 24 hours for mails.

Contact us