Monday, March 10, 2014

General Random Testing FAQ's/Concepts - For Interviews - Part 1

Q1)When the testing process starts ?

A1) The testing process starts after the requirement analysis : Writing testing cases,Reviewing test cases ,etc.,And the actual testing starts after coding : Executing the test cases.

Q2)What is BRD ?

A2) BRD stands for Business requirement document. This document specifies the needs and the requirements of the customer/Client/Business.

Q3)What is Black box Testing ?

A3)Black box testing is functional testing, not based on any knowledge of internal software design or code.Black box testing is based on requirements and functionality.

Q4)What is White box Testing ?

A4)White box testing is based on knowledge of the internal logic of an application's code.Tests are based on coverage of code statements,branches,paths and conditions.

Q5)What are the different levels of Testing ?

A5)The different levels of testing are
                                            1)Functional Testing
                                            2)Integration Testing
                                            3)System Testing
                                            4)Regression Testing
                                            5)UAT Testing

Q6)What is Unit Testing?

A6)Unit testing focuses verification effort on the smallest unit of software module.The unit testing is normally white box oriented.Unit testing is done by programmers to verify the written code.

In terms of ETL:Once mapping was done,developers need to check their mapping by themselves to make sure the logic which was implemented is working according to the business need.the process of checking their own mappings is nothing but unit testing.

Q7)What is Sanity Testing?

A7)Sanity testing is casual testing that it can be performed whenever new build(new code) released to test environment to prove the application is functioning according to specifications before starts the functional testing.

                      This normally includes a set of core tests of basic functionality to demonstrate connectivity to the database,application servers etc.,are set correctly.

Q8)What is Functional Testing?

A8)Functional testing is kind of black box testing accommodates to functional requirements of an application.Test engineers should perform functional testing.

Q9)What is Integration Testing?

A9)The purpose of integration testing is to ensure distinct components(Upstream and Down streams)of the application still work in according to the customer requirements.

Integration testing test cases are developed with the express purpose of testing the interfaces between components(Upstream and Down streams).This activity is carried out by test team.

Q10)What is Regression testing?

A10)The objective of regression testing is to ensure that the software remains unchanged when there are changes on existing functionalities or added new functionalities to the existing syatem.

A base line set of test data and test cases is maintained and executed to verify that changes introduced during the new release have not broken/unchanged any previous code/build/functionality.

Q11)What is System Testing?

A11)System testing performed by testing team,and at the start of the system testing the complete system is configured like production environment(Required software,hardware,etc.,)
The purpose of system testing is to validate an application's accuracy and completeness in performing the functions as designed.System testing starts after completion of integration testing.

Q12)What is UAT Testing ?

A12)UAT Testing is nothing but user acceptance testing which is done by user/client/business with the sample real time data and check whether they are getting expected results are not it is the final stage of testing and after this testing is done code will move to production.

Note:This will be done by the user or user will provide some real time data and check the expected results





Monday, September 23, 2013

ETL Testing and Informatica Training

Based on the interest and request from all the students and learners we are going to start online classes and offline/classroom classes for ETL Testing and Informatica Training

ETL Testing and Informatica Training
@ Real Time with good success rate call +91-8237320101 and +91-9885320101


Online Trainings
-All working days and weekends


Pune
- Monday to Friday
                                         -  Vishrantwadi, Pune,Maharashtra - 411 015

Pune
- Weekends
                                         -  Hinjewadi, Pune,Maharashtra - 411 057

Bangalore
- Weekends
                                         -  Kasturi Nagar,Nr Tin Factory,Bangalore - 43

Hyderabad
- Weekends
                                         -  Ameerpet,Hyderabad

Monday, September 2, 2013

Data Transformation Test

Data transformation test:

1.It’s a process of converting,cleansing,scrubbing,merging the data into required business format.

2.Validating that the data is transformed correctly or not,based on the business rules/business requirements,
Business rules/requirements validating can be the most complex and important part of ETL testing. 

3.An ETL application(i.e.Informatica,Datastage..etc) with significant transformation logic between source and target,where test should be make sure that the datatype of each column of each table is as per the functional and mapping specifications,If no specific details are mentioned in functional and mapping specifications about the tables/schema's then test should be make sure on the below concerns:

a)The datatype of source column and destination column(Target column) are same or not.

b)The destination column length is equal to or greater than the source column length.

c)Validation should be done that all the data specified gets extracted.

d)Test should include the check to see that the transformation and cleansing process are working correctly.

e)Make sure that all the types of data transformations are working and meeting the FS/MS and Business requirements/rules.

The following types of data transformation makes place in staging
1. Data Cleansing 
2. Data Scrubbing  
3. Data Aggregation  
4. Data Merging 


Data Completeness Test


1.Data completeness test are designed to verify that all the expected data loads into the DWH.

2.It includes running detailed tests to verify that all records,all fields and full contents of each field are loaded correctly or not.

3.Strategies to consider includes:
a)Record counts must compared between source and the target data.

b)Comparing record counts between source and data loaded to the warehouse (Target) and also rejected records in warehouse (Target).

c)Comparing unique values of key fields between source data and data loaded to the warehouse (Target) column mapping from the source or stage.


4.Populating the full contents of each field to validate that have no truncation occurs at any step in the process for example if the source data fields is having string(30) and make sure that to test it with 30 characters.

Tuesday, August 27, 2013

Test Strategy for ETL Testing / Standard Tests for ETL Testing

There will be some standard tests for DWH that should be carried out as part of testing for every DWH Project.

These are Strategies for testing ETL Applications are Identified as below:

2)      Data Transformation Testing
3)      Data Quality Testing
4)      Initial Load / Full Load Testing
5)      Incremental Load Testing
6)      Presentation Layer Testing /  BI Testing / Report Testing
7)      Integration Testing / System Integration Testing / SIT
8)      Load and Performance Testing
9)      UAT Testing / User Acceptance Testing
10)   Regression Testing

                     High Level Description

    Data Completeness Testing             -  
Ensures that all expected data is loaded

       Data Transformation Testing            - 
 Ensures that all data is transformed correctly according to business rules

Data Quality Testing -
Ensure that the etl applications correctly rejects,substitutes the default values and reports invalid data

 Initial Load / Full Load Testing -
       Ensures that all the very first time data loaded correctly and als ensure the truncating process

Incremental Load Testing -
       Ensures that after first load all data is getting updating maintaining versioning and inserting new records  properly

  Presentation Layer Testing /  BI Testing / Report Testing  -
Testing BI Reports in DWH testing and comparing data correctness from DWH data and Reports

Integration Testing / System Integration Testing / SIT  -
Ensure that the ETL process functions with other upstream and downstream process

 Load and Performance Testing -
Ensure that the data loads and queries perform within expected Timeframes

 UAT Testing / User Acceptance Testing  -
Ensure that solution  and current expectations and anticipates full expectations

Regression Testing -
Ensures the new data updates have not broken any existing functionality or process.


Sunday, May 26, 2013

ETL Testing Online Training & Course Content


ETL Testing Course Content by

Sandeep Manem  @ +91-9885320101, +91-8237320101


DataWare Housing Concepts:
·           What is Data Ware House?
·           Difference between OLTP and DataWare Housing
Data Acquisition
·           Data Extraction
·           Data Transformation
·           Data Loading
Data Marts
·           Dependent Data Mart
·           Independent Data Mart
Data Base Design
·           Star Schema
·           Snow Flake Schema
·           Fact constellation Schema
SCD(slowly changing dimension)
·           Type-1 SCD
·           Type-2 SCD
·           Type-3 SCD
Basic Concepts in SQL
·         Overview of ETL Tool Architecture
·         White Box and Black BOX Testing Functionality on Different Transformation Rules
Data Ware House Life Cycle
Different Types of Testing Techniques in ETL
·           Minus Queing
·           Count  Queing
  ETL Testing Concepts
1.Introduction
·            What is use of testing
·            What is quality & standards
·            Responsibilities of a ETL Tester
2.Software development life cycle
·            Waterfall model
·            V-model
·            Agile model & methodology
·            Prototype model
·            Spiral model
3.Testing methodologies
·            White box testing
·            Black box testing
·            Grey box testing
·            ETL Testing Work Flow Process
·            How to Prepare the  ETL Test Plan
·            How to design the Test cases in ETL Testing.
·            How to reporting the Bugs in ETL Testing ?
·            ETL Testing Responsibilities in DataStage, Informatica, Abinitio etc;
·            How to detect the bugs through database queries
·            ETL Performing Testing & Performing Tuning
Projects
Projects on Different Domains(Banking , Health Care, Telecom , Insurance)

OR


ETL Testing Course Content by

Sandeep Manem  @ +91-9885320101, +91-8237320101

Oracle Basics & Concepts
1. DBMS
2. RDBMS
3. DBMS vs RDBMS
4. Why Database Required
5. Different types of databases and difference
6. ASCII vs UNICODE
7. PL/SQL Basics
8. Oracle Architecture
9. Diff B/W Database & Files
10. OLTP
11. OLAP, ROLAP, MOLAP
12. METADATA
13. DDL,DML,DCL
14. BASIC ADMIN ACTIVITIES
15. DATATYPES
16. TABLES
17. SQL ,SUB QUERIES,CORELATED SUB QUERY
18. INNER QUERY,OUTER QUERY
19. FUNCTIONS AND TYPES AND IMPORTANCE
20. JOINS AND DIFFERENT TYPES
21. VIEWS n MATERIALIZED VIEWS
22. INDEX
23. CONSTRAINTS
24. REFERENTIAL INTEGRITY
25. PARTITIONING
26. PERFORMANCE TUNING
27. DIFFERENT TYPES OF TECHNIQES
28. DATABASE SCHEMA
DWH Concepts
1. WHAT IS DWH ?WHY WE REQUIRE THAT ?
2. DWH ARCHITECTURE
3. DATA MART and TYPES
4. DM vs DWH
5. DATA CLEANZING
6. DATA SCRUBING
7. DATA MASKING
8. NORMALIZATION
9. ODS
10. STG AREA
11. DSS
12. Diff B/w OLTP vs ODS,OLAP vs DSS
13. DIMENTION MODELING
14. DIMENSIONS
15. FACTS
16. AGGREGATES
17. DWH SCHEMA designing
18. STAR SCHEMA,SNOWFLAKE SCHEMA,GALAXY SCHEMA,FCS
19. SLOWLY CHANGING DIMENSIONS
20. SCD TYPE1,TYPE2,TYPE3
21. INITIAL LOAD
22. INCREMENTAL LOAD
23. FULL LOAD
24. CDC- change data capture
25. FAQ’S
ETL Testing Concepts
1. Introduction of ETL-Extract,Transform,Load
2. ETL TOOLS and Diff Types of ETL Tools
3. ETL ARCHITECTURE
4. ETL TESTING AND WHY WE REQUIRE
5. DIFFERENT ETL TOOLS ARCHITECTURES
6. SDLC and Methods/Models
7. STLC and Methods/Models
8. SDLC vs STLC
9. Reverse Engineering
10. QC(Quality Center and BugZilla)
11. Roles and Responsibilities
12. Minus,Duplicate,Count,Intersection,etc…
13. Detect Defects
14. Defects Logging and Reporting
15. How to prepare Queries very quickly with the help of mapping
16. Performance Tuning and Performance Testing,Report Testing,UI Testing
17. Quality and different standards that tester should follow,Why?
18. Testplan Preparation
19. Testcases Preparation
20. Preparation of Test data
21. Process Of ETL Testing
Testing Concepts
1. Whitebox Testing
2. Blackbox Testing
3. Gray Box Testing
4. Regression Testing
5. Smoke Testing vs Sanity Testing
6. User Testing
7. Unit testing
8. Intigration testing
9. Module testing
10. System testing
11. UAT
ETL Tool and Testing
1. Data Extract
2. Data Transform
3. Data Load
4. Import Source
5. Import Target
6. Mappings,Maplets
7. Workflows,Worklets
8. Transformations,Functionalities,Rules and Techniques
9. Import and Export
10. Coping and Rules
11. Queries Preparation based on Transformations
12. Importance of ETL Testing
13. Creating of Mappings,Sessions,Workflows
14. Running of Mappings,Sessions,Workflows
15. Analyzing of Mappings,Sessions,Workflows
16. Tasks and Types
Practice:
a. Testing scenarios, creation of test cases and scripts
b. Test case execution and defect tracking and reporting
c. Preparation of Test data
d. Practice ETL Testing with Real Time Scenarios and FAQ’s
e. Resume preparation.

ETL Testing Use Cases & Benefits

ETL Testing


ETL Testing in Less Time, With Greater Coverage, to Deliver Trusted Data

Much ETL testing today is done by SQL scripting or “eyeballing” of data on spreadsheets. These approaches to ETL testing are very time-consuming, error-prone, and seldom provide complete test coverage. Informatica Data Validation Option provides an ETL testing tool that can accelerate and automate ETL testing in both production environments and development & test. This means that you can deliver complete, repeatable and auditable test coverage in less time with no programming skills required. 

ETL Testing Use Cases

  • Production Validation Testing (testing data before moving into production). Sometimes called “table balancing” or “production reconciliation,” this type of ETL testing is done on data as it is being moved into production systems. The data in your production systems has to be right in order to support your business decision making.  Informatica Data Validation Option provides the ETL testing automation and management capabilities to ensure that your production systems are not compromised by the data update process.
  • Source to Target Testing (data is transformed). This type of ETL testing validates that the data values after a transformation are the expected data values. The Informatica Data Validation Option has a large set of pre-built operators to build this type of ETL testing with no programming skills required.
  • Application Upgrades (same-to-same ETL testing). This type of ETL testing validates that the data coming from an older application or repository is exactly the same as the data in the new application or repository. Must of this type of ETL testing can be automatically generated, saving substantial test development time.

Benefits of ETL Testing with Data Validation Option

  • Production Reconciliation. Informatica Data Validation Option provides automation and visibility for ETL testing, to ensure that you deliver trusted data in your production system updates.
  • IT Developer Productivity.  50% to 90% less time and resources required to do ETL testing
  • Data Integrity.  Comprehensive ETL testing coverage means lower business risk and greater confidence in the data.