ETL operations using talend open studio for data integration

1. ETL
with talend
POOJA B. MISHRA

2. What is ETL?
Extract is the process of reading data from a database
Transform is the process of converting the extracted data from its
previous form into the form it needs to be in so that it can be placed
into another database. Transformation occurs by using rules or
lookup tables or by combining the data with other data
Load is the process of writing the data into the target database

3. Process flow

4. Terms closely related and managed by
ETL processes
 data migration
data management
 data cleansing
data synchronization
 data consolidation.
.

5. Different ETL tools
•Oracle ETL
•Ab Initio
•Pentaho Data Integration -Kettle Project (open source ETL)
•SAS ETL studio
•Cognos Decisionstream
•Business Objects Data Integrator (BODI)
•Microsoft SQL Server Integration Services (SSIS)
•Informatica PowerCenter
•Talend

6. Prerequisites
Talend Open Studio for Data Integration
◦ http://www.talend.com/download
VirtualBox
◦ https://www.virtualbox.org/wiki/Downloads
Hortonworks Sandbox VM
◦ http://hortonworks.com/products/hortonworks-
sandbox/#install

7. How to set up – Step 1

8. Step 2

9. Step 3

10. Step 4

11. Step 5

12. Talend Interface
Workspace
Repository tree
Component configuration
Palette
WorkspaceRepository
tree
Palette
Repository
tree
Workspace
Palette
Component
configuration

13. What are supported data input formats?
•SQL
•MySQL
•PostgreSQL
•Sybase
•Teradata
•MSSQL
•Netezza
•Greenplum
•Access
•DB2
•Hive

14. What kinds of datasets can be loaded?
Talend Studio offers nearly comprehensive connectivity to:
Packaged applications (ERP, CRM, etc.), databases, mainframes, files, Web Services, and so on to
address the growing disparity of sources.
Data warehouses, data marts, OLAP applications - for analysis, reporting, dashboarding,
scorecarding, and so on.
Built-in advanced components for ETL, including string manipulations, Slowly Changing
Dimensions, automatic lookup handling, bulk loads support, and so on.

15. What are data export formats?

16. Talend - ELT DB Components – Step 1

17. Step 2

18. Step 3

19. Step 4

20. Step 5

21. Step 6

22. Challenges involved
Data volumes are growing exponentially
Data velocity is moving faster
As information systems grow in complexity, the disparity of
sources is growing as well
All these target structures have different data transformation
requirements and different tolerances in terms of latency
Transformations involved in ETL processes can be highly complex

23. Thank You!!