價格：免費
更新日期：2019-04-29
檔案大小：8.3M
目前版本：2.2
版本需求：Android 4.2 以上版本
官方網站：http://www.softecks.in
Email：contact@softecks.in
聯絡地址：201-B,Nishadham Blgd,1/5, Chipale,Panvel,Navi Mumbai-410206,Maharashtra, India
❰ Databases are the collection of files which are interconnected. Databases at different servers may not be of same type, i.e. databases may be heterogeneous. Basically, database testing is a layered process. Database systems usually consist of four layers: the user interface (UI) layer, the business layer, the data access layer and the database itself. Testing at these different layers is important for a consistent database system. Often, web software accesses the database from different backbends, i.e. they access heterogeneous databases.❱
❰ Database testing is one of the major testing which requires tester to expertise in checking tables, writing queries and procedures. Testing can be performed in web application or desktop and database can be used in the application like SQL or Oracle. There are many projects like banking, finance, health insurance which requires extensive database testing.❱
【Topics Covered in this App are Listed Below】
⇢Database Testing – Overview
⇢How to test – Database Testing Process
⇢What to test – different components
⇢Database(Data) Testing Tutorial with Sample TestCases
⇢Database Testing – Insight
⇢What to test in database testing
⇢How to Test Database
⇢Fundamental differences between user-interface and data testing
⇢Types of database testing
⇢Structural database testing
⇢Structural database testing
⇢Database table, column testing
⇢Stored procedures testing
⇢Trigger testing
⇢Database server validations
⇢Functional database testing
⇢Checking data integrity and consistency
⇢Login and user security
⇢Non-functional testing
⇢Load testing
⇢Stress testing
⇢Myths or Misconceptions related to Database Testing.
⇢Best Practices
⇢What is Database Testing?
⇢What are Different Regression Testing Tools and Techniques?
⇢The Importance of Software Testing for the IoT (Internet of Things)
⇢Database Testing – Types
⇢Database Testing – Processes
⇢Database Testing – Techniques
⇢Database Testing – Scenarios⇢Database Testing – Objects
⇢Database Testing – Data Integrity
⇢Database Testing – Data Mapping
⇢Database Testing – Performance
⇢Database Testing – Tools
⇢Database Testing – Backup
⇢Database Testing – Recovery
⇢Database Testing – Security
⇢Database Testing – Challenges
⇢Writing Database Tests
⇢Introducing Database Regression Testing into Your Organization
⇢Database Testing and Data Inspection
⇢Database Testing
⇢Factory Callbacks
⇢Database: Query Builder
⇢Raw Methods
⇢METADATA TESTING
⇢DATA QUALITY TESTING
⇢DATABASE PROCEDURE TESTING
⇢DATABASE REGRESSION TESTING
⇢DATABASE INTEGRATION TESTING
⇢DATABASE PERFORMANCE TESTING
⇢Database (backend) testing for Oracle R12 upgrade
⇢Database Testing for Reimplementation (eg. 11i to R12 transition)
⇢Database Testing - Ensure acceptable variance in data differences
⇢Data Testing Automation for Salesforce using ETL Validator
⇢E TL Validator for Data Migration testing
⇢Difference between ETL and Database testing
⇢The role of BI Validator in "In-Place" Upgrades
⇢Why ETL Validator when there is Python?
⇢Difference between ETL and Database testing
⇢OBI Dashboard Regression Testing
⇢OBIEE 11g upgrade : Fixing consistency check errors during RPD upgrade
⇢Connecting to Mongo DB using Apache Drill in ETL Validator
⇢7 Incredible Test Automation Plans for Tableau using BI Validator
⇢Best Practices for Effective Data-driven Test Automation Approach
⇢Importance of Continuous Testing & Automation Testing in Agile
⇢METADATA TESTING⇢DATA COMPLETENESS TESTING
⇢DATA QUALITY TESTING
⇢DATA TRANSFORMATION TESTING
⇢ETL REGRESSION TESTING
