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Introduction on Talend Tools

An open source platform for data integration is Talend tool. There are many software and different services for data integration, management and integration of applications and big data and also tools for data quality management. The architecture is scalable that huge amount of data can be loaded into the tool. Talend is easy to learn as the work mostly involves dragging and dropping the data to several tabs of the dashboard. We should know SQL and RDBMS to learn Talend. Also knowledge of Java is helpful to do complex jobs in Talend.

Talend Open Studio Components / Tools

Talend Open Studio for Data Integration covers the following areas/ technologies with some built-in components which helps in processing easily.

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Hadoop, Data Science, Statistics & others

  • Big Data components
  • Business components
  • Business Intelligence components
  • Cloud components
  • Custom Code components
  • Data Quality components
  • Databases – traditional components
  • Databases – appliance/data warehouse components
  • Databases – other components
  • DotNET components
  • ELT components
  • ESB components
  • File components
  • Internet components
  • Logs & Errors components
  • Misc group components
  • Orchestration components
  • Processing components
  • System components
  • Talend MDM components
  • Technical components
  • XML components

Here we will be discussing a few components from Talend Open Studio for Data Integration.

1. tS3Connection: This component is used for connecting with amazon s3. Components can use this connection for easy setup of connecting to amazon s3.

2. tS3Input: This is used to read a file from the S3 file system. It has some functions similar to tfileinputdelimited but uses Amazon Simple Storage service.

3. tS3Output: This is used to write data into an S3 file system. It has some functions similar to tfileoutputdelimited but uses Amazon Simple Storage service.

4. ts3Put: This is used to put a file into an S3 file system from a local system.

5. ts3Get: This component is used to retrieve a file from S3 into a local system.

6. tS3BucketCreate: This component is used to create a bucket on S3.

7. tS3BucketDelete: This component is used to delete a bucket on S3.

8. tS3BucketExist: This component is used to check whether the given bucket exists on S3. It returns the result in true or false boolean value which can be used as a global map.

9. tS3BucketList: This component is used to list all the buckets on S3.

10. tS3Copy: This component is used to copy the S3 object from one bucket to another bucket. It is similar to tFileCopy.

11. tS3Delete: This component is used to delete the S3 object from a bucket. It is similar to tFileDelete.

12. tS3Close: This component is used to close the S3 connection which is created using tS3Connection.

13. tCreateTemporaryFile: This component creates a temporary file like tFileOutputDelimited but this temporary file can either be deleted automatically after job finishes or it can be kept.

14. tFileArchive: This component is used to create a compressed file from one or more files. Encryption can also be applied in compression.

15. tFileCompare: This component is used to compare two files and returns the comparison data.

16. tFileUnarchive: This component is used to uncompress a zipped file.

17. tFileCopy: This component is used to copy a file or folder into a target directory.

18. tFileDelete: This component is used to delete a file or folder.

19. tFileExist: This component is used to check if a file exists or not. It returns the result in true or false boolean value which can be used as globalMap.

20. tFileInputExcel: This component is used to read an Excel file based on the schema defined.

21. tMsgBox: This component is used to display a dialog box with an OK button.

22. tRowGenerator: This component is used to create any number of rows with columns having specific values or random values. It is used mostly for testing purposes and creating sample test files.

23. tIterateToFlow: It is used to transform a list of flows into the main flow which means iterate-> row->main.

24. tFlowToIterate: It is used to transform the main flow into a list of flows which means main->row->iterate.

25. tLoop: It is used to loop a particular task.

26. tReplicate: It is used to replicate the incoming schema into two output flows.

27. tRunJob: It is used to run another talend job within the current job after subjob ok.

28. tSleep: It is used to make the job execution or particular subjob pause for a given time in seconds.

29. tWaitForFile: It will look at a particular directory and will trigger the next component based on condition.

30.tMysqlBulkExec: This component is used to Offers gains in performance while executing the Insert operations on a Mysql database.

31. tMysqlClose: This component is used to close the mysql connection which is created by tMysqlConnection.

32. tMysqlRow: This component is used to run the SQL query on the MySQL database directly.

33. tMysqlTableList: This component is used to lists the names of a tables.

34. tMysqlColumnList: This component is used to iterates all columns of a table.

35. tMysqlCommit: This component is used to commit the changes made in the Mysql database.

36. tMysqlLastInsertId: This component is used to get the last inserted key value

37. tMysqlOutputBulk: This component is used to write a file with columns based on the delimiter

38. tMysqlOutputBulkExec: This component is used to write a file with columns based on the delimiter and then executes the file in Mysql database.

39. tContextLoad: This component is used for loading values into context from an input flow. The context variables should be created before loading the values into context variables. If the context variables are not created it will show a warning.

40. tHiveClose: This component is used to close the connection created using tHiveConnection.

41. tHiveConnection: This component is used to create a Hive connection and can be reused by other Hive components.

42. tHiveRow: This component is used to run the Hive queries directly.

Conclusion

  • HDFS components can be seen in Talend open studio for Big data.
  • thdfsinput,thdfsoutput are some of the components and they are similar to file components.
  • tHDFSInput – Reads file located on a given Hadoop distributed file system (HDFS). It has some functions similar to tfileinputdelimited but uses a Hadoop distributed file system.
  • tHDFSOutput- Writes file into Hadoop distributed file system (HDFS).
  • It has some functions similar to tfileoutputdelimited but uses a Hadoop distributed file system.
  • tHDFSPut- This is used to put a file into HDFS file system from a local system.
  • tHDFSGet- This component used to retrieve a file from HDFS into a local system.

Recommended Articles

This is a guide to Talend Tools. Here we discuss the introduction and Talend open studio components or tools for data integration which includes, tS3Connection, tS3Input, tS3Output, and ts3Put, etc. You may also look at the following articles to learn more –

  1. Talend Data Integration
  2. Free Data Analysis Tools
  3. Talend vs Mulesoft
  4. Types of Data Visualization
  5. Data Warehouse Design
  6. Types and Handling Errors in JavaScript
  7. What is Data Integration?
  8. What is MDM? | Uses | Advantages
  9. Talend Components | Top 7
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