An anchored data type is a data type that takes on the data type of another SQL object such as a column, variable, or row. If the data type of the anchored object changes, the anchored data type will also change. An anchored data type can be useful when the data type of a variable needs to match the data type of another object but its specific type is unknown.
PL/SQL is a combination of SQL along with the procedural features of programming languages.
It provides specific syntax for this purpose and supports exactly the same datatypes as SQL.
Free Download - http://sapdocs.info/sap/abap/abap-training-course-for-beginners/
A must document for those don't have any experience about ABAP, never seen code..
PL/SQL is a combination of SQL along with the procedural features of programming languages.
It provides specific syntax for this purpose and supports exactly the same datatypes as SQL.
Free Download - http://sapdocs.info/sap/abap/abap-training-course-for-beginners/
A must document for those don't have any experience about ABAP, never seen code..
Database normalization is the process of refining the data in accordance with a series of normal forms. This is done to reduce data redundancy and improve data integrity. This process divides large tables into small tables and links them using relationships.
Here is the link of full article: https://www.support.dbagenesis.com/post/database-normalization
When a software program is modularized, there are measures by which the quality of a design of modules and their interaction among them can be measured. These measures are called coupling and cohesion.
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...Raj vardhan
The Relational Data Model and Relational Database Constraints
Ch5 (Navathe 4th edition)/ Ch7 (Navathe 3rd edition)
Example of STUDENT Relation(figure 5.1)
Object-Oriented Programming in Java
Java is a well-liked programming language that may be used to create a wide range of applications, from straightforward desktop programs to intricate web programs. It is an object-oriented programming language that enables programmers to create modular, reusable code, making it simple to maintain and update.
We shall look at the fundamentals of Java object-oriented programming in this tutorial. The fundamentals of object-oriented programming in Java, oops concepts such as classes and objects, inheritance, polymorphism, and encapsulation will all be covered. You will have a solid understanding of object-oriented programming in Java and how to use it to create robust and scalable programs at the end of this article.
Introduction to OOPs concept
Object-oriented programming in Java is a programming paradigm that revolves around objects. An object is a real-world entity that has a set of attributes and behaviors. In Java, even basic data types like integers and booleans are considered objects.
In OOPS, a program is designed by creating objects that interact with each other to perform tasks. Objects have attributes that define their properties and methods that define their behavior.
In Java, we create classes, which are templates that define the attributes and behaviors of objects. A class can be compared to an object creation blueprint. Once a class is defined, objects can be created based on that class.
Principles of Object-Oriented Programming
There are four main principles of object-oriented programming:
a. Abstraction
Abstraction is the process of hiding complex details and providing a simplified interface for the user. It helps developers to create simpler and more understandable models of a complex system, by just exposing only the required features and not the implementation part. In Java, abstraction can be achieved using interfaces and abstract classes.
b. Encapsulation
Encapsulation is the process of hiding the internal details of an object and providing a public interface for accessing and modifying the object. It helps in maintaining the integrity of the object and ensures that its internal state cannot be modified by external code. In Java, encapsulation can be achieved using access modifiers such as public, private, and protected.
Got confused between Abstraction and Encapsulation?
Abstraction is about simplifying the complexity of a system by focusing on its essential features, while encapsulation is about protecting the integrity of an object by hiding its internal details.
c. Inheritance
The process of creating a new class from an existing one is called Inheritance. The new class inherits the attributes and behaviors of the existing class and can add additional attributes and behaviors. This helps in reducing code duplication, promoting code reuse, and making the code more modular and maintainable. In Java, the extend keyword is useful for achieving inheritance.
d. Polymorphism
The ability of an
Database normalization is the process of refining the data in accordance with a series of normal forms. This is done to reduce data redundancy and improve data integrity. This process divides large tables into small tables and links them using relationships.
Here is the link of full article: https://www.support.dbagenesis.com/post/database-normalization
When a software program is modularized, there are measures by which the quality of a design of modules and their interaction among them can be measured. These measures are called coupling and cohesion.
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...Raj vardhan
The Relational Data Model and Relational Database Constraints
Ch5 (Navathe 4th edition)/ Ch7 (Navathe 3rd edition)
Example of STUDENT Relation(figure 5.1)
Object-Oriented Programming in Java
Java is a well-liked programming language that may be used to create a wide range of applications, from straightforward desktop programs to intricate web programs. It is an object-oriented programming language that enables programmers to create modular, reusable code, making it simple to maintain and update.
We shall look at the fundamentals of Java object-oriented programming in this tutorial. The fundamentals of object-oriented programming in Java, oops concepts such as classes and objects, inheritance, polymorphism, and encapsulation will all be covered. You will have a solid understanding of object-oriented programming in Java and how to use it to create robust and scalable programs at the end of this article.
Introduction to OOPs concept
Object-oriented programming in Java is a programming paradigm that revolves around objects. An object is a real-world entity that has a set of attributes and behaviors. In Java, even basic data types like integers and booleans are considered objects.
In OOPS, a program is designed by creating objects that interact with each other to perform tasks. Objects have attributes that define their properties and methods that define their behavior.
In Java, we create classes, which are templates that define the attributes and behaviors of objects. A class can be compared to an object creation blueprint. Once a class is defined, objects can be created based on that class.
Principles of Object-Oriented Programming
There are four main principles of object-oriented programming:
a. Abstraction
Abstraction is the process of hiding complex details and providing a simplified interface for the user. It helps developers to create simpler and more understandable models of a complex system, by just exposing only the required features and not the implementation part. In Java, abstraction can be achieved using interfaces and abstract classes.
b. Encapsulation
Encapsulation is the process of hiding the internal details of an object and providing a public interface for accessing and modifying the object. It helps in maintaining the integrity of the object and ensures that its internal state cannot be modified by external code. In Java, encapsulation can be achieved using access modifiers such as public, private, and protected.
Got confused between Abstraction and Encapsulation?
Abstraction is about simplifying the complexity of a system by focusing on its essential features, while encapsulation is about protecting the integrity of an object by hiding its internal details.
c. Inheritance
The process of creating a new class from an existing one is called Inheritance. The new class inherits the attributes and behaviors of the existing class and can add additional attributes and behaviors. This helps in reducing code duplication, promoting code reuse, and making the code more modular and maintainable. In Java, the extend keyword is useful for achieving inheritance.
d. Polymorphism
The ability of an
INWORK-hankkeen ja hanketoimijoiden esittely HENRY ry:n kanssa järjestetyssä tilaisuudessa 3.12.2013: "Tarjolla tänään: Toimivia uudistumisen käytäntöjä"
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.
SQL is a language that provides an interface to a relational database system.
SQL is developed by IBM in 1970s and it is a defacto standard as well as ISO & ANSI standard
SQL also supports DML for insert, update & delete operations and DDL for creating and modifying tables and other database structures.
DUCAT offers exclusive Oracle 11g Development Training & certification program with live project by industry expert In Noida, Ghaziabad, Gurgaon, Faridabad, Greater Noida, Jaipur
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
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End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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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.
20240605 QFM017 Machine Intelligence Reading List May 2024
Anchored data type
1. Anchored data type
An anchored data type is a data type that is defined to be the same as that of
another object. If the underlying object data type changes, the anchored data type
also changes.
An anchored type defines a data type based on another SQL object such as a
Column
Global variable,
SQL variable,
SQL parameter
Row of a table or view.
Features of the anchored data type
An anchored type defines a data type based on another SQL object such as a
column, global variable, SQL variable, SQL parameter, or the row of a table or view.
A data type defined using an anchored type definition maintains a dependency on
the object to which it is anchored. Any change in the data type of the anchor object
will impact the anchored data type. If anchored to the row of a table or view, the
anchored data type is ROW with the fields defined by the columns of the anchor
table or anchor view.
This data type is useful when declaring variables in cases where you require that the
variable have the same data type as another object, for example a column in a table,
but you do not know exactly what is the data type.
An anchored data type can be of the same type as one of:
a row in a table
a row in a view
a cursor variable row definition
a column in a table
a column in a view
a local variable, including a local cursor variable or row variable
a global variable
Anchored data types can only be specified when declaring or creating one of the
following:
a local variable in an SQL procedure, including a row variable
a local variable in a compiled SQL function, including a row variable
a routine parameter
a user-defined cursor data type using the CREATE TYPE statement.
It cannot be referenced in a DECLARE CURSOR statement.
a function return data type
a global variable
To define an anchored data type specify the ANCHOR DATA TYPE TO clause (or
the shorter form ANCHOR clause) to specify what the data type will be. If the
anchored data type is a row data type, the ANCHOR ROW OF clause, or one of its
2. synonyms, must be specified. These clauses are supported within the following
statements:
DECLARE
CREATE TYPE
CREATE VARIABLE
In this version, global variables can only be anchored to other global
variables, a column in a table, or a column in a view.
Restrictions on the anchored data type
Review the restrictions on the use of the anchored data type before declaring
variables of this type or when troubleshooting problems related to their use.
The following restrictions apply to the use of anchored data types, including types
specified using the PL/SQL %TYPE attribute:
Anchored data types are not supported in inline SQL functions.
Anchored data types cannot reference nicknames or columns in nicknames.
Anchored data types cannot reference typed tables, columns of typed tables,
typed views, or columns of typed views.
Anchored data types cannot reference declared temporary tables, or columns
of declared temporary tables.
Anchored data types cannot reference row definitions associated with a
weakly typed cursor.
Anchored data types cannot reference objects with a code page or collation
that is different from the database code page or database collation.
Anchored data type variables
An anchored variable is a local variable or parameter with a data type that is an
anchored data type.
Anchored variables are supported in the following contexts:
SQL procedures
o In SQL procedures, parameters and local variables can be specified to
be of an anchored data type.
Compiled SQL functions
o SQL functions created using the CREATE FUNCTION statement that
specify the BEGIN clause instead of the BEGIN ATOMIC clause can
include parameter or local variable specification that are of the
anchored data type.
Module variables
o Anchored variables can be specified as published or unpublished
variables defined within a module.
Global variables
o Global variables can be created of the anchored data type.
Declaring local variables of the anchored data type
Declaring local variables or parameters of the anchored data type is a task that you would
perform whenever it is necessary that the data type of the variable or parameter remain
consistent with the data type of the object to which it is anchored.
3. Before you begin
The object of the data type that the variable will be anchored to must be defined.
About this task
Procedure
1. Formulate a DECLARE statement
a. Specify the name of the variable.
b. Specify the ANCHOR DATA TYPE TO clause.
c. Specify the name of the object that is of the data type that the variable is to be
anchored.
2. Execute the DECLARE statement from a supported DB2® interface.
Results
If the DECLARE statement executes successfully, the variable is defined in the database
with the specified anchor data type.
Example
The following is an example of an anchored data type declaration in which a variable
named v1 is anchored to the data type of a column named c1 in a table named emp:
DECLARE v1 ANCHOR DATA TYPE TO emp.c1;
What to do next
Once the variable is defined it can be assigned a value, be referenced, or passed as a
parameter to routines.
Example: Variable declarations of anchored data types
Examples of anchored data type declarations can be useful references when declaring
variables.
The following is an example of a declaration of a variable named v1 that has the same data
type as the column name in table staff:
DECLARE v1 ANCHOR DATA TYPE TO staff.name;
The following is an example of a CREATE TYPE statement that defines a type
named empRow1 that is anchored to a row defined in a table namedemployee:
CREATE TYPE empRow1 AS ROW ANCHOR DATA TYPE TO ROW OF employee;
For variables declared of type empRow1, the field names are the same as the table column
names.
If the data type of the column name is VARCHAR(128), then the variable v1 will also be of
data type VARCHAR(128).
Examples: Anchored data type use in SQL routines
4. Examples of anchored data type use in SQL routines are useful to reference when creating
your own SQL routines.
The set of examples below demonstrate various features and uses of anchored data types in
SQL routines. The anchored data type features are demonstrated more so than the features
of the SQL routines that contain them.
The following is an example that demonstrates a declared variable that is anchored to the
data type of a column in a table:
CREATE TABLE tab1(col1 INT, col2 CHAR)@
INSERT INTO tab1 VALUES (1,2)@
INSERT INTO tab1 VALUES (3,4)@
CREATE TABLE tab2 (col1a INT, col2a CHAR)@
CREATE PROCEDURE p1()
BEGIN
DECLARE var1 ANCHOR tab1.col1;
SELECT col1 INTO var1 FROM tab1 WHERE col2 = 2;
INSERT INTO tab2 VALUES (var1, 'a');
END@