Informatica interview questions

1. What is Source Qualifier Transformation ?
The source qualifier transformation is an active,connected transformation used to represent the rows that the integrations service reads when it runs a session. You need to connect the source qualifier transformation to the relational or flat file definition in a mapping. It filters rows while reading the data from a source.It can filter rows only from relational sources.It limits the row sets extracted from a source. It enhances performance by minimizing the number of rows used in mapping. In this, filter condition uses the standard SQL to execute in the database.

2. Can you compare Amazon Redshift vs Microsoft SQL Server

Name

Amazon Redshift  X

Microsoft SQL Server  X

Description

Large scale data warehouse service for use with business intelligence tools

Microsofts relational DBMS

Primary database model

Relational DBMS

Relational DBMS

Secondary database models

Document store

Graph DBMS

Developer

Amazon (based on PostgreSQL)

Microsoft

Cloud-based only

yes

no

Implementation language

C

C++

Server operating systems

hosted

Linux

Windows

Data scheme

yes

yes

Typing

yes

yes

XML support

no

yes

Secondary indexes

restricted

yes

SQL

yes

yes

APIs and other access methods

JDBC

ADO.NET

ODBC

JDBC

ODBC

OLE DB

Tabular Data Stream (TDS)

Supported programming languages

All languages supporting JDBC/ODBC

C#

C++

Delphi

Go

Java

JavaScript (Node.js)

PHP

Python

R

Ruby

Visual Basic

Server-side scripts

user defined functions

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

Triggers

no

yes

Partitioning methods

Sharding

Tables can be distributed across several files (horizontal partitioning); sharding through federation

Replication methods

yes

yes, but depending on the SQL-Server Edition

MapReduce

no

no

Consistency concepts

Immediate Consistency

Immediate Consistency

Foreign keys

yes

yes

Transaction concepts

ACID

ACID

Concurrency

yes

yes

Durability

yes

yes

In-memory capabilities

yes

yes

User concepts

Fine grained access rights according to SQL-standard

Fine grained access rights according to SQL-standard

3. What is round-robin partitioning?
The round robin method always creates approximately equal size partitions. The first record goes to the first processing node, the second to the second processing node, and so on. for example, if we have 3 nodes and 8 records then first record will go to first node, second record will go to second node, third record will go to third node, fourth record will go to first node and fifth record will go to second node.

4. What is Key Generator Transformation Overview ?
The Key Generator transformation is an active transformation that organizes records into groups based on data values in a column that you select. Use this transformation to sort records before passing them to the Match transformation.

5. How to load first and last records into target table ?
Add a sequence number to the records and then take the Top 1 rank and Bottom 1 Rank from the records.

Author: user

Leave a Reply

Your email address will not be published. Required fields are marked *