Constraints are the rules enforced on the data columns of a table. These are used to limit the type of data that can go into a table. This ensures the accuracy and reliability of the data in the database.
Constraints can be divided into following two types:
Column level constraints : limits only column data
Table level constraints : limits whole table data
Aggregate Functions
An SQL JOIN clause combines columns from one or more tables in a relational database. It creates a set that can be saved as a table or used as it is. A JOIN is a means for combining columns from one (self-table) or more tables by using values common to each.
Constraints are the rules enforced on the data columns of a table. These are used to limit the type of data that can go into a table. This ensures the accuracy and reliability of the data in the database.
Constraints can be divided into following two types:
Column level constraints : limits only column data
Table level constraints : limits whole table data
Aggregate Functions
An SQL JOIN clause combines columns from one or more tables in a relational database. It creates a set that can be saved as a table or used as it is. A JOIN is a means for combining columns from one (self-table) or more tables by using values common to each.
A subquery, also known as a nested query or subselect, is a SELECT query embedded within the WHERE or HAVING clause of another SQL query. The data returned by the subquery is used by the outer statement in the same way a literal value would be used. ... A subquery must return only one column.
For more information visit https://tutsmaster.org/
A. Table Basic Data Types- Char, varchar/varchar2, long, number, Fixed Commands to create table Commands for table handling- Alter table, Drop table, Insert records B. Commands for record handling Update, Delete Select with operators like arithmetic, comparison, logical Query Expression operators Ordering the records with orderby Grouping the records C. SQL functions Date, Numeric, Character, conversion Group functions avg, max, min, sum, count Set operations- Union, Union all, intersect, minu
DUCAT offers exclusive Oracle 11g Development Training & certification program with live project by industry expert In Noida, Ghaziabad, Gurgaon, Faridabad, Greater Noida, Jaipur
DUCAT imparts training in a way that is more practical and efficient. Anyone who wants to learn Oracle 11g development needs to look no further than DUCAT. It gives training so that after the training ORACLE 11G DEVELOPMENT becomes a part of you. Oracle 11g development starts where Oracle Parallel Server ends.
A subquery, also known as a nested query or subselect, is a SELECT query embedded within the WHERE or HAVING clause of another SQL query. The data returned by the subquery is used by the outer statement in the same way a literal value would be used. ... A subquery must return only one column.
For more information visit https://tutsmaster.org/
A. Table Basic Data Types- Char, varchar/varchar2, long, number, Fixed Commands to create table Commands for table handling- Alter table, Drop table, Insert records B. Commands for record handling Update, Delete Select with operators like arithmetic, comparison, logical Query Expression operators Ordering the records with orderby Grouping the records C. SQL functions Date, Numeric, Character, conversion Group functions avg, max, min, sum, count Set operations- Union, Union all, intersect, minu
DUCAT offers exclusive Oracle 11g Development Training & certification program with live project by industry expert In Noida, Ghaziabad, Gurgaon, Faridabad, Greater Noida, Jaipur
DUCAT imparts training in a way that is more practical and efficient. Anyone who wants to learn Oracle 11g development needs to look no further than DUCAT. It gives training so that after the training ORACLE 11G DEVELOPMENT becomes a part of you. Oracle 11g development starts where Oracle Parallel Server ends.
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SAP BASIS Online Training Course Contents :
What is SAP?
An introduction to ERP
An introduction to SAP
SAP AG: Evolution & Strategy
SAP Product Evolution
SAP Services Overview ( OSS )
An introduction to BASIS
Basics to startup with BASIS Administration
An introduction to Operating Systems
An introduction to Database Systems
Overview of computer Networks
Network types & devices
Protocol & IP Address concepts
An introduction to Kernel Software
Description of R/3
Client / Server Solution
Overview of 3 layer interface
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SAP HCM Online Training Course Contents :
Introduction to SAP
Introduction to ERP
Overview of SAP
SAP-HCM Module at a glance
Organizational Management
Organizational Structure (Simple Maintenance & Expert Mode)
Objects, Additional Object Types ,Task Description/Department/Staff
Plan Versions ,Org Management Infotypes
Account assignment features, Structure Maintenance
Configure Positions, Jobs, Cost Center Assignment, Reporting Relationships
Personnel Administration
Enterprise Structure & Personnel Structure
Personnel Area, Personnel Sub Area, Employee Group, Employee Sub Group
Assignment of ES & PS
Personnel Action , Hiring , Employee Master Data
PA Infotypes Maintenance , Dynamic Actions
Recruitment
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SAP HCM Online Training Course Contents :
Introduction to SAP
Introduction to ERP
Overview of SAP
SAP-HCM Module at a glance
Organizational Management
Organizational Structure (Simple Maintenance & Expert Mode)
Objects, Additional Object Types ,Task Description/Department/Staff
Plan Versions ,Org Management Infotypes
Account assignment features, Structure Maintenance
Configure Positions, Jobs, Cost Center Assignment, Reporting Relationships
Personnel Administration
Enterprise Structure & Personnel Structure
Personnel Area, Personnel Sub Area, Employee Group, Employee Sub Group
Assignment of ES & PS
Personnel Action , Hiring , Employee Master Data
PA Infotypes Maintenance , Dynamic Actions
Recruitment
Recruitment Medium & Instruments, Applicant Master Data
Applicant Actions, Applicant Activity
Transfer Applicant Data to Employee Master Data
Report Generation, Recruitment Infotype Maintenance
Time Management
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Oracle Apps Finance Functional R12 Online Training Course Details
Oracle Apps R12 Summary Course Content
Payables (AP)
Receivables (AR)
General Ledger (GL)
Fixed Assets (FA)
Cash Management (CE)
Multi Org Access Control (MOAC)
Sub Ledger Accounting (SLA)
R12 Detailed Course Content:
Basic Concepts of R12
Architectural Overview – System Administration
UI Navigation changes in R12 Vs 11i
Flex fields
Access and Controls
Functional overview of Products
Concepts of LE/OU/Chart of Accounts
Differences between R11 Vs 11i-sneek peek review
Creation of Users and assignment of Responsibilities
Profile Options and security controls
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Overview of SOA and SCA Concepts
Describing Service-Oriented Architecture (SOA)
Reviewing of Services and key standards
Describing Event Driven Architecture (EDA)
Discussing the course application and environment
Service Design
Describing basics of XML, XSD, XSLT and WSDL
Defining service interfaces with WSDL
Defining message structure with XML Schema (XSD)
Discussing types of Service Access and Implementation
Defining message exchange patterns over network SOAP
Designing Composite Applications with Oracle
SOA Suite 11g
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Oracle 11g ADF Online Training Course Content
Oracle 11g ADF Online Training
Introduction to Fusion and ADF
Oracle ADF and JDeveloper
Oracle Fusion Middleware
Oracle Fusion Architecture
ADF and MVC
More about ADF
Exploring JDeveloper
JDeveloper 11g New Features
Building ADF Application in JDeveloper
Configuring JDeveloper Preferences
Database Schema Design
JDeveloper 11g New Features
Database Designing Tools in JDeveloper
Creating Offline Objects
Synchronize Online-Offline Database
Data Modeling with ADF Business Components
JAdvantages of ADF BC
JADF BC Categories
JCreating ADF Business Components
JBusiness Component Browser
Entity Objects and Associations
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Getting Started with Oracle ADF
Getting Started with Oracle ADF
Why Oracle ADF?
Oracle ADF architecture
Developing with ADF
Your first Fusion web application
Introduction to ADF Business Components
Business service layer
Overview of ADF Business Components
Building a simple business service
Oracle ADF Model Tester
Using the ADF Model Tester to test the CRUD
operations on business data
Understanding the runtime behavior of ADF Business Components
Introducing Entity Object
Introduction
Ingredients of an entity object
Core features of ADF entity objects
Developing entity objects
Developing entity objects
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Getting Started with Oracle ADF
Getting Started with Oracle ADF
Why Oracle ADF?
Oracle ADF architecture
Developing with ADF
Your first Fusion web application
Introduction to ADF Business Components
Business service layer
Overview of ADF Business Components
Building a simple business service
Oracle ADF Model Tester
Using the ADF Model Tester to test the CRUD
operations on business data
Understanding the runtime behavior of ADF Business Components
Introducing Entity Object
Introduction
Ingredients of an entity object
Core features of ADF entity objects
Developing entity objects
Developing entity objects
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Oracle Apps Technical Online Training Concepts :
Introduction to ERP
1.Definition of ERP, Overview of popular ERP’S
2.Comparison of Oracle Apps with other ERP’S
3.Types of Roles
4.Types of Projects
5.AIM documentation standards
6.Oracle Application Architecture.
7.Database structure of OA
8.Using TOAD
Application Object Library
1.Creating Users
2.WHO columns
3.Creating Responsibilities
4.Menu construction
5.Request group construction
Application development
1.Defining concurrent program
2.Concurrent programs with parameters
3.Working with multiple concurrent programs
4.Scheduling the Concurrent Program
5.Concurrent Program incompatibilities
6.Creating Request Set
7.Procedure registration
8.Value sets
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. Introduction
List the Oracle Database 10g Main Features
An Overview of: components, internet platform, apps server
and developer suite
Describe Relational and Object Relational Database Designs
Review the System Development Life Cycle
3.
Define projection, selection, and join terminology
Review the basic SQL SELECT statement syntax
Select all columns using a wildcard notation from a table
State simple rules and guidelines for writing SQL statements
Write a query containing the arithmetic operators
Create a character expression with the concatenation
operator
Using the iSQL*Plus Environment
SQL statements versus iSQL*Plus commands
4.
Limit rows using a selection
Using the WHERE clause to retrieve specific rows
Using the comparison conditions in the WHERE clause
Use the LIKE condition to compare literal values
List the logical conditions AND, OR, NOT
Describe the rules of precedence for the conditions
Sort rows with the ORDER BY clause
Use ampersand substitution in iSQL*Plus to restrict and sort
output at run time
5.
Show the differences between single row and multiple row
SQL functions
Categorize the character functions into case manipulation and
character manipulation types
Use the character manipulation functions in the SELECT and
WHERE clauses
6.
Describe and categorize the group functions
Use the group functions
Utilize the DISTINCT keyword with the group functions
Describe how nulls are handled with the group functions
Create groups of data with the GROUP BY clause
Group data by more than one column
Avoid illegal queries with the group functions
Exclude groups of data with the HAVING clause
7.
Identify Types of Joins
Retrieve Records with Natural Joins
Use Table Aliases to write shorter code and explicitly identify
columns from multiple tables
Create a Join with the USING clause to identify specific
columns between tables
Use the ON clause to specify arbitrary conditions or specify
columns to Join
Create a Three-way join with the ON clause to retrieve
information from 3 tables
List the Types of Outer Joins LEFT, RIGHT, and FULL
Generating a Cartesian Product
8.
List the syntax for sub queries in a SELECT statements WHERE
clause
List the guidelines for using sub queries
Describe the types of sub queries
Execute single row sub queries and use the group functions
in a sub query
Identify illegal statements with sub queries
Execute multiple row sub queries
9.
Use the UNION operator to return all rows from multiple
tables and eliminate any duplicate rows
Use the UNION ALL operator to return all rows from multiple
tables
Describe the INTERSECT operator
Use the INTERSECT operator
Explain the MINUS operator
Use the MINUS operator
List the SET operator guidelines
Order results when using the UNION operator
10.
Write INSERT statements to add rows to a table
Copy rows from another table
Create UPDATE statements to change data in a table
Generate DELETE statements to remove rows from a table
Use a script to manipulate data
Save and discard changes to a table through transaction
processing
Show how read consistency works
Describe the TRUNCATE statement
11.
List the main database objects and describe the naming
rules for database objects
Introduce the schema concept
Display the basic syntax for creating a table and show
the DEFAULT option
Explain the different types of constraints
Show resulting exceptions when constraints are violated
with DML statements
Create a table with a sub query
12.
Categorize simple and complex views and compare them
Create a view
Retrieve data from a view
Explain a read-only view
List the rules for performing DML on complex views
Create a sequence
List the basic rules for when to create and not create an index
Create a synonym
13.
Describe the structure of each of the dictionary views
List the purpose of each of the dictionary views
Write queries that retrieve information from the dictionary
views on the schema objects
Use the COMMENT command to document objects
14.
Controlling User Access
System versus Objects Privileges
Using Roles to define user groups
Changing Your Password
Granting Object Privileges
Confirming Privileges Granted
Revoking Object Privileges
Using Database Links
15.
Using the ALTER TABLE statement
Adding a Column
Modifying a Column
Dropping a Column, Set Column UNUSED
Adding, Enabling and Disabling Constraints
Creating Function-Based Indexes
Performing FLASHBACK operations
External Tables