1. Talend Characteristics
|
Criteria |
Result |
|
Distinguishing
feature |
First
Data integration software as a service |
|
Deployment |
Business
modeling, graphical development |
|
ETL
functionality |
Makes
ETL mapping faster and simpler for diverse data sources |
2. What Talend stands
for?
Talend stands for
Talend Open Studio.
3. What do you mean by
Talend?
Talend open studio is
the open source data integration product produced by Talend and it is designed
to convert, combine and update data in various areas across a business.
4. When was Talend
open studio launched?
Talend launched in
October 2006
5. Talend is written
in which language?
It is written in Java
language.
6. Tell the latest
version of Talend open studio.
The latest version is
5.6.0
7. Differentiate
between ETL and ELT.
ETL stands for
Extract, Transform and Load which is a process that involves gaining data from
exterior source, converting it to get fit into operational requirement, then
load it into the end target database.
ELT stands for Extract, Load and Transform which is the process in which data
is get, then loaded into the staging table in the database and then data is
converted according to the need.Read this incisive blog to clearly understand the
process of ETL now.
8. What is the
significance of tLoqateAddressRow component in Talend?
It is a component for
mailing correct address belongs to the respective customer data to make sure a
single customer view and good delivery for their respective customer mailing.
9. Could we change the
background color of the job designer ?
Yes, we can change the
background color of job designer.
10. How we can change
the background color of job designer?
We can change the
background of job designer by clicking on the preferences of the window menus,
after the talend, appearance,designer then click on color menu.
11. Can we define a
variable which can be accessed by many jobs?
Yes, we can declare a
static variable in the rountine and add the setter method for the respective
variable in the routine. Then this variable can be accessed from various jobs.
12. Can we save our
personal settings in the DQ Portal?
No, we can not save
our personal setting in the DQ Portal.
13. Can we change the
generated code directly?
No, this is not
possible we cannot generate code directly for Talend.
14. Which method we
should use to include our own Java code in a Job?
We can use tJava,
tJavaFlex component, tJavaRow, etc to include our own Java code in a Job.
15. Can we use Binary
Transfer mode in SFTP ?
No, in SFTP we cannot
use the binary transfer mode because SFTP is not like the FTP. Hence, we cannot
apply the concept like ‘current mode directory’ and ‘transfer mode’.
16. For sorting data
which component we generally use?
We can use
tExternalSortRow and tSortRow.synthesizing sorted input
17. In talend what is
the fixed pattern of date?
By default the date
pattern is dd-MM-yyyy.
18. What do you mean
by component?
Component is simply a
functional piece which is used for a single operation. It is a bundle of file
kept within a folder named followed by component name.
19. Differentiate
between ‘insert or update’ and ‘update or insert’.
Insert or update means
first we insert a record, but if a record is matching with the primary key then
the record is updated.
Update or insert means first we update the record with same primary and if the
record doesn’t exists then we insert the record.
20. Differentiate
between Repository and Built-In ?
In Built-In we can
manually edit the data as data is kept locally in the job whereas in repository
all the data is stored there only. We can extract only Read-only-information
into the job from repository.
21. Which option is
better Built-in or Repository?
It simply depends on
the way we use it. We should use Built-in for the data which we use rarely and
use the Repository for the data which we use repeatedly.
22. Differentiate
between OnComponentOk and OnSubjectOk ?
They both are trigger
links which can connect to another subject job. The major difference between
both of them is that they both lies in the execution order of the connected
subjobs.
23. In talend how the
delimited data be normalized?
We can normalized the
delimited data by clicking on the tNormalized component.
24. Define tMap ?
tMap is the latest
component which simply converts and routes data from one or many sources to one
or many destinations.
25. Tmap component
support which types of joins?
TMap supports
inner,unique,outer, and all joins.
26. Define
tDenormalizeSortedRow?
tDenormalizeSortedRow
is bundled in a group of all input sorted rows. It helps in saving the memory
by synthesizing sorted input flow.
27. For data transform
using built in .Net classes which Talend component is used?
For transforming the
data by utilizing custom we can use tDotNETRow component.
28. What do you mean
by tJoin?
By exact matching the
several columns of tables the tJoin joins the two tables.
29. Define MDM in
talend ?
It is a management by
which an organization makes and manage a single, consistent and correct view of
key enterprise data.
30. In 5.6 version of
Talend what is new?
The new feature in
talend 5.6 is that it have more techical notes. It also have enterprise and
open studio solution.
31. Write the advantages
of talend ?
It is highly
versatile, cost effective, user friendly and readily adaptable.
Interested in learning
Talend? Well, we have the comprehensive Talend Training Courses to
give you a head start in your career.
32. Define project ?
It is the bundle of
technical resources and their respective metadata. All the jobs and business
items which we designe is known as project only.
33. What do you
understand by the term workspace?
It is kind of
repository where we can store our folders. It is mandatory to have one
workspace repository per connection.
34. Define an item?
An item is a
fundamental technical part in a project. They are bundled according to their
types as code,metadata,contex, etc.
35. What do you
understand by the term Migration Task in Talend?
It is done to ensure
the worth fullness of a project which we have developed with the previous
version of Talend.
36. What is the use of
Palette setting in talend?
It allow us to launch
the studio more fastly because by using this only the current component is
loaded in the project.
37. Define Talend data
generator routine?
It is a function which
allow us to create group of set data. They are based on the entry of first
name, address,town, etc.
38. What are the steps
to replace an element in a string?
We can replace one
element with another in a string by using Change routine along with tJava
components.
39. How we can store a
string in an alphabetical order?
We can store a string
in an alphabetical order by using ALPHA routine with tJava component.
40. What is the use of
String Handling Routines?
It allow us to take
out many operations and test on alphanumeric expressions relay on Java methods.
41. What is the use of
Numeric Routine?
It allow us to revisit
whole or decimal numbers in order to use them as setting in one or more job
mechanism.
42. What is the use of
Job view?
It shows many
information belongs to the open job on the design workspace.
43. Define scheduler ?
This view is used to
arrange a task in a sequence that will launch one by one the job which we
select through the crontab program.
44. Define
configuration tabs ?
It is situated in the
bottom half of the design workspace. Every tab open a view which shows the
properties of the selected elements in the design workspace.
45. What do you
understand by the term Routines?
They are the somewhat
complicated Java functions, mostly used to factorize code. It recover Job
capacities and optimized data procedure.
46. What is the use of
tXML map operation?
With using this we are
able to add various input and output flow as needed into the visual map editor
to execute.
47. How we can access
global and contex variable?
By clicking Cntrl+
Space key we can access global and contex variable.
48. How we can use
inner join?
This join is a
specific type of join which differentiate itself by the way refusal is
performed.
49. What are the
operations which tMap allows?
data transformation on
any type of fields
data multiplexing and demultiplexing,
fields concatenation and interchange,
data rejecting
field filtering using constraints
50. What is Talend
Open Studio?
Talend Open Studio for
Data Integration is an open source data integration product developed by Talend
and designed to combine, convert and update data in various locations across a
business.
51. What is the
difference between the ETL and ELT?
ETL:
Extract, Transform, and load(ETL) is a process that involves extracting data
from outside source, transforming it to fit operational needs (sometimes using
staging tables), then loading it into the end target database or data
warehouse. This approach is reasonable as long as many different databases are
involved in your data warehouse landscape. In this scenario you have to
transport data from one place to another anyway, so it’s a legitimate way to do
the transformation work in a separate specialized engine.
ELT:
Extract, Load, Transform(ELT) is a process where data is extracted, then loaded
into staging table in the database, transforming it. Where it sits in the
database and then loading it into the target database or data warehouse.
52. What is thew use
of tLoqateAddressRow component in Talend?
This Component is used
to correct mailing addresses associated with customer data to ensure a single
customer view and better delivery for their customer mailings.
53. What do you
understand by MDM in Talend?
Master Data
Management, through which an organization builds and manages a single,
consistent, accurate view of key enterprise data, has demonstrated substantial
business value including improvements to operational efficiency, marketing
effectiveness, strategic planning and regulatory compliance. To data, however,
MDM has been the privilege of a relatively small number of large, resource-rich
organizations. Thwarted by the prohibitive costs of proprietary MDM software
and the great difficulty of building and maintaining an in-house MDM solution,
most organization have had to forego MDM despite its clear value.
54. What’s new in
v5.6?
This technical note
highlights the important new features and capabilities of version 5.6 of
Talend’s comprehensive suite of Platform, Enterprise and Open Studio solutions.
With version 5.6 Talend:
· Extends it big data leadership position
enabling firms to move beyond batch processing and into real-time big data by
providing technical previews of the Apache Spark, Apache Spark Streaming and
Apache Storm frameworks.
· Enhances its support for the Internet of
Things (loT) by introducing support for key loT protocols (MQTT, AMQP) to
gather and collect information from machines, sensors, or other devices.
· Improves Big Dta performance: Map Reduce
executes on average 24% faster in v5.6 and 53% faster than in v5.4, while Big
Data profiling performance is typically 20 times faster in v5.6 compared to
v5.5.
· Enables faster updates to MDM data models and
provides deeper control of data lineage, more visibility and control.
· Offers further enterprise application
connectivity and support by continuing to add to its extensive list of over 800
connectors and components with enhanced support for enterprise applications
such as SAP BAPI and Tables, Oracle 12 GoldenGate CDC, Microsoft HDInsight,
Marketo and Salesforce.com
55. What is the
advantage of Talend?
Talend is
cost-effective, easy to use, readily adaptable and extremely versatile. With
the help of the graphical user interface we can easily and quickly link up a
large number of source systems using the standard connectors.
56. Describe the ETL
process?
Extraction,
Transformation and Loading (ETL) processes are critical components for feeding
a data warehouse, a business intelligence system, or a big data platform. While
mostly invisible to users of a business intelligence platform, an ETL process retrieves
data from operational systems and pre-processes it for further analysis by
reporting and analytics tools. The accuracy and timeliness of the entire
business intelligence platform rely on ETL processes, specifically:
· Extraction of the data from production
applications and databases (ERP, CRM, RDBMS, files, etc.)
· Transformation of this data to reconcile it
across source systems, perform calculations or string parsing, enrich it with
external lookup information, and also match the format required by the target
system (third normal form, star schema, slowly changing dimensions, etc.)
· Loading of the resulting data into The business
intelligence (BI) applications: Data Warehouse or Enterprise Data Warehouse,
Data Marts, Online Analytical Processing (OLAP) applications or “cubes”, etc.
57. What is tJoin?
