A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
This document provides an overview of SQL fundamentals and the SELECT statement in Oracle 11g. It discusses the properties of database transactions including atomicity, consistency, isolation, and durability. It then covers the basics of the SELECT statement and how to identify columns and tables. The document proceeds to explain arithmetic expressions, column and table aliases, concatenation operators, and how to eliminate duplicate records using DISTINCT. It also discusses viewing table structures, the WHERE clause and various comparison/logical operators that can be used. The document concludes with an overview of the ORDER BY clause and rules of precedence.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
This document provides an overview of SQL fundamentals and Oracle 11g, including:
- How to add comments to tables and columns to document the data dictionary.
- The main data types in Oracle like VARCHAR2, INT, DATE, and TIMESTAMP.
- Data integrity constraints that can be applied at the column or table level, including NULL/NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK constraints.
- How to add, drop, disable, enable, and use cascading constraints to modify constraints on existing schemas.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
Data Manipulation(DML) and Transaction Control (TCL) MuhammadWaheed44
A short course "SQL Fundamentals - Oracle 11g" is being in progress at PMAS Arid Agriculture University. Complete course video and can be found at following link
https://www.youtube.com/playlist?list=PL12t8CWUhXZaUXsmg7M67o_Q37JhhfAKU
SQL is a language for operating databases and is used to perform operations like inserting, searching, updating, and deleting records from databases. The document discusses SQL fundamentals including SQL statements, database users, creating and managing tables, and adding comments. Key points covered are how to connect to a database, create users and tables, alter and drop tables, and add comments to tables and columns. Various SQL statements and syntax are provided for these operations.
This document provides an overview of SQL fundamentals and the SELECT statement in Oracle 11g. It discusses the properties of database transactions including atomicity, consistency, isolation, and durability. It then covers the basics of the SELECT statement and how to identify columns and tables. The document proceeds to explain arithmetic expressions, column and table aliases, concatenation operators, and how to eliminate duplicate records using DISTINCT. It also discusses viewing table structures, the WHERE clause and various comparison/logical operators that can be used. The document concludes with an overview of the ORDER BY clause and rules of precedence.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
This document provides an overview of SQL fundamentals and Oracle 11g, including:
- How to add comments to tables and columns to document the data dictionary.
- The main data types in Oracle like VARCHAR2, INT, DATE, and TIMESTAMP.
- Data integrity constraints that can be applied at the column or table level, including NULL/NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK constraints.
- How to add, drop, disable, enable, and use cascading constraints to modify constraints on existing schemas.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
Data Manipulation(DML) and Transaction Control (TCL) MuhammadWaheed44
A short course "SQL Fundamentals - Oracle 11g" is being in progress at PMAS Arid Agriculture University. Complete course video and can be found at following link
https://www.youtube.com/playlist?list=PL12t8CWUhXZaUXsmg7M67o_Q37JhhfAKU
SQL is a language for operating databases and is used to perform operations like inserting, searching, updating, and deleting records from databases. The document discusses SQL fundamentals including SQL statements, database users, creating and managing tables, and adding comments. Key points covered are how to connect to a database, create users and tables, alter and drop tables, and add comments to tables and columns. Various SQL statements and syntax are provided for these operations.
A structure allows grouping of different data types under a single name. It contains members that can be of different types including arrays and other structures. Structures create a new data type that can then be used to declare variables of that type. Individual members of a structure are accessed using the dot operator between the structure name and member name. Structures allow copying of all members with a single assignment and arrays of structures can be defined. Pointers to structures can also be declared.
This document provides an overview of different data types in C programming including arrays, pointers, enumerated data types, typedef, structures, constants, and volatile variables. It also discusses various operators in C such as arithmetic, relational, logical, assignment, increment/decrement, conditional, and bitwise operators. The document defines each data type and operator and provides examples to illustrate their usage.
This document defines SQL data definition statements and basic SQL query structure. It discusses DDL statements like CREATE, ALTER, and DROP that are used to define and manage database structures. It also explains the typical components of an SQL query including the SELECT, FROM, and WHERE clauses. Finally, it outlines several set operations in SQL like UNION, UNION ALL, INTERSECT, and MINUS.
The document discusses SQL functions like COUNT, REPLICATE, POWER, and RIGHT. It also covers stored procedures like sp_who2 and dynamic management views like sys.dm_exec_requests that can be used to monitor current SQL queries. A number of Microsoft documentation URLs are provided for additional reference.
C++ Templates_ Program to Swap Two Numbers Using Function Template - The Craz...Rishikesh Agrawani
The document discusses using C++ function templates to swap two numbers of any data type. It defines a template function "swap" that takes two references of a generic type T. The function swaps the values of the two arguments by using a temporary variable. The document provides an example that uses the swap function to interchange integer and float values. It also links to a video that further explains templates.
MySQL is an SQL-based relational database management system that is compatible with standard SQL. SQL is used for data definition and modification. Data definition statements like CREATE DATABASE and CREATE TABLE are used to define the schema. Data modification statements like INSERT, UPDATE, and DELETE are used to add, modify, and remove data from tables. Queries use SELECT statements to retrieve data from one or more tables, along with WHERE and JOIN clauses to filter rows and aggregate functions to perform calculations on groups of data.
The document discusses structures and unions in C programming. It defines a structure as a user-defined data type that allows storing heterogeneous data under a single name. Structures contain members that can be accessed using the dot operator. Arrays of structures allow storing multiple records of the same type. Structures can be nested by defining a structure member within another structure. Unions allow storing different types of data in the same memory location, but only one member can be accessed at a time. Examples are provided to demonstrate defining, declaring, and accessing structure and union variables as well as nested structures.
Getting Started with Regular Expressions In MarcEditTerry Reese
This is a beginners video developed to give new users to MarcEdit's regular expression syntax a primer and examples on how to use the language. It provides information on strategies, resources, and hopefully, some useful hints to help get people started.
These slides accompanied a youtube video which is available at: https://youtu.be/7YXvS4xBEfw
The SELECT clause is used to select data from a database and store it in a result set. It has five possible clauses: * selects all fields, particular selects specific fields, DISTINCT removes duplicate values, WHERE filters records based on a condition, and ORDER BY sorts the results in ascending or descending order based on a field. Each clause's syntax and use is demonstrated through examples selecting fields from a sample STUDENT table.
The document discusses various operations that can be performed on strings in C language such as reading, writing, comparing, reversing, extracting substrings, concatenating, appending and inserting strings. It provides algorithms to implement these string operations using functions like scanf(), printf(), gets(), puts() and by manipulating the characters in the string using indexes. The key string operations covered are reading/writing strings, calculating string length, converting case, concatenating, comparing, reversing and extracting substrings from different positions in a string.
Array & Exception Handling in C# (CSharp)Sohanur63
The document discusses arrays and exception handling in C#. It describes arrays as groups of like-typed variables referred to by a common name. Arrays can be one-dimensional or multi-dimensional. Exception handling in C# uses try, catch, finally and throw keywords to handle errors. The try block contains code that may cause exceptions, catch blocks catch specific exception types, finally ensures code runs regardless of exceptions, and throw raises exceptions. An example demonstrates declaring, initializing, and accessing arrays as well as try/catch exception handling.
This document discusses various topics related to enterprise resource planning (ERP) systems and technologies. It defines ERP as business process management software that integrates applications to manage business functions. It describes the typical lifecycle of an ERP implementation project, including pre-evaluation, evaluation, project planning, gap analysis, reengineering, training, testing, and post-implementation. It also discusses ERP-related technologies like business intelligence, supply chain management, and customer relationship management.
The document discusses different types of arrays, including one-dimensional and two-dimensional arrays. It defines an array as a single name for a collection of data values of the same type. One-dimensional arrays have a single size dimension, while two-dimensional arrays represent data in a matrix with row and column sizes. Examples of how to declare, initialize, and reference elements of one-dimensional and two-dimensional arrays in code are provided.
This document discusses Data Manipulation Language (DML) which provides basic operations to query and manipulate data in a database. It describes common DML commands like SELECT that allow users to retrieve data from one or more tables based on specific conditions. Examples are provided showing how to use the SELECT statement to query a student database table to list records by name, house code, district code, or other fields based on parameters like class, gender, fee remission status. DML allows users to efficiently access and manage data stored in a relational database.
The document discusses different types of arrays including linear arrays, non-linear arrays, and multi-dimensional arrays. Linear arrays are one-dimensional and can be represented in a row or column. Non-linear arrays have more than one dimension, such as two-dimensional or three-dimensional arrays. Basic array operations like traversing, inserting, deleting and searching elements are also described along with code examples.
This document provides an overview and goals for a book on advanced SQL tips and tricks. It discusses topics covered in the book such as scalar functions, analytic functions, complex subqueries, common table expressions, and XML tricks. The document also provides examples of SQL code snippets demonstrating various techniques, including finding values containing percentages, combining values into a single row, correlating vs simple subqueries, and using common table expressions.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
This document discusses various SQL operators used in queries. It describes arithmetic, bitwise, comparison, compound, logical, LIKE, IN, BETWEEN operators and provides examples of their usage. Examples show how to use operators to filter records based on conditions, search for patterns, specify multiple values, and select values within a range. Combining operators like AND, OR, and NOT is also demonstrated.
This document provides an overview of SQL (Structured Query Language) including its history, data definition and manipulation capabilities. Key topics covered include SQL's data types, basic queries using SELECT, FROM and WHERE clauses, joins, aggregation, null values, triggers and indexes. The document also discusses SQL standards over time and commercial database implementations of SQL features.
A structure allows grouping of different data types under a single name. It contains members that can be of different types including arrays and other structures. Structures create a new data type that can then be used to declare variables of that type. Individual members of a structure are accessed using the dot operator between the structure name and member name. Structures allow copying of all members with a single assignment and arrays of structures can be defined. Pointers to structures can also be declared.
This document provides an overview of different data types in C programming including arrays, pointers, enumerated data types, typedef, structures, constants, and volatile variables. It also discusses various operators in C such as arithmetic, relational, logical, assignment, increment/decrement, conditional, and bitwise operators. The document defines each data type and operator and provides examples to illustrate their usage.
This document defines SQL data definition statements and basic SQL query structure. It discusses DDL statements like CREATE, ALTER, and DROP that are used to define and manage database structures. It also explains the typical components of an SQL query including the SELECT, FROM, and WHERE clauses. Finally, it outlines several set operations in SQL like UNION, UNION ALL, INTERSECT, and MINUS.
The document discusses SQL functions like COUNT, REPLICATE, POWER, and RIGHT. It also covers stored procedures like sp_who2 and dynamic management views like sys.dm_exec_requests that can be used to monitor current SQL queries. A number of Microsoft documentation URLs are provided for additional reference.
C++ Templates_ Program to Swap Two Numbers Using Function Template - The Craz...Rishikesh Agrawani
The document discusses using C++ function templates to swap two numbers of any data type. It defines a template function "swap" that takes two references of a generic type T. The function swaps the values of the two arguments by using a temporary variable. The document provides an example that uses the swap function to interchange integer and float values. It also links to a video that further explains templates.
MySQL is an SQL-based relational database management system that is compatible with standard SQL. SQL is used for data definition and modification. Data definition statements like CREATE DATABASE and CREATE TABLE are used to define the schema. Data modification statements like INSERT, UPDATE, and DELETE are used to add, modify, and remove data from tables. Queries use SELECT statements to retrieve data from one or more tables, along with WHERE and JOIN clauses to filter rows and aggregate functions to perform calculations on groups of data.
The document discusses structures and unions in C programming. It defines a structure as a user-defined data type that allows storing heterogeneous data under a single name. Structures contain members that can be accessed using the dot operator. Arrays of structures allow storing multiple records of the same type. Structures can be nested by defining a structure member within another structure. Unions allow storing different types of data in the same memory location, but only one member can be accessed at a time. Examples are provided to demonstrate defining, declaring, and accessing structure and union variables as well as nested structures.
Getting Started with Regular Expressions In MarcEditTerry Reese
This is a beginners video developed to give new users to MarcEdit's regular expression syntax a primer and examples on how to use the language. It provides information on strategies, resources, and hopefully, some useful hints to help get people started.
These slides accompanied a youtube video which is available at: https://youtu.be/7YXvS4xBEfw
The SELECT clause is used to select data from a database and store it in a result set. It has five possible clauses: * selects all fields, particular selects specific fields, DISTINCT removes duplicate values, WHERE filters records based on a condition, and ORDER BY sorts the results in ascending or descending order based on a field. Each clause's syntax and use is demonstrated through examples selecting fields from a sample STUDENT table.
The document discusses various operations that can be performed on strings in C language such as reading, writing, comparing, reversing, extracting substrings, concatenating, appending and inserting strings. It provides algorithms to implement these string operations using functions like scanf(), printf(), gets(), puts() and by manipulating the characters in the string using indexes. The key string operations covered are reading/writing strings, calculating string length, converting case, concatenating, comparing, reversing and extracting substrings from different positions in a string.
Array & Exception Handling in C# (CSharp)Sohanur63
The document discusses arrays and exception handling in C#. It describes arrays as groups of like-typed variables referred to by a common name. Arrays can be one-dimensional or multi-dimensional. Exception handling in C# uses try, catch, finally and throw keywords to handle errors. The try block contains code that may cause exceptions, catch blocks catch specific exception types, finally ensures code runs regardless of exceptions, and throw raises exceptions. An example demonstrates declaring, initializing, and accessing arrays as well as try/catch exception handling.
This document discusses various topics related to enterprise resource planning (ERP) systems and technologies. It defines ERP as business process management software that integrates applications to manage business functions. It describes the typical lifecycle of an ERP implementation project, including pre-evaluation, evaluation, project planning, gap analysis, reengineering, training, testing, and post-implementation. It also discusses ERP-related technologies like business intelligence, supply chain management, and customer relationship management.
The document discusses different types of arrays, including one-dimensional and two-dimensional arrays. It defines an array as a single name for a collection of data values of the same type. One-dimensional arrays have a single size dimension, while two-dimensional arrays represent data in a matrix with row and column sizes. Examples of how to declare, initialize, and reference elements of one-dimensional and two-dimensional arrays in code are provided.
This document discusses Data Manipulation Language (DML) which provides basic operations to query and manipulate data in a database. It describes common DML commands like SELECT that allow users to retrieve data from one or more tables based on specific conditions. Examples are provided showing how to use the SELECT statement to query a student database table to list records by name, house code, district code, or other fields based on parameters like class, gender, fee remission status. DML allows users to efficiently access and manage data stored in a relational database.
The document discusses different types of arrays including linear arrays, non-linear arrays, and multi-dimensional arrays. Linear arrays are one-dimensional and can be represented in a row or column. Non-linear arrays have more than one dimension, such as two-dimensional or three-dimensional arrays. Basic array operations like traversing, inserting, deleting and searching elements are also described along with code examples.
This document provides an overview and goals for a book on advanced SQL tips and tricks. It discusses topics covered in the book such as scalar functions, analytic functions, complex subqueries, common table expressions, and XML tricks. The document also provides examples of SQL code snippets demonstrating various techniques, including finding values containing percentages, combining values into a single row, correlating vs simple subqueries, and using common table expressions.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
This document discusses various SQL operators used in queries. It describes arithmetic, bitwise, comparison, compound, logical, LIKE, IN, BETWEEN operators and provides examples of their usage. Examples show how to use operators to filter records based on conditions, search for patterns, specify multiple values, and select values within a range. Combining operators like AND, OR, and NOT is also demonstrated.
This document provides an overview of SQL (Structured Query Language) including its history, data definition and manipulation capabilities. Key topics covered include SQL's data types, basic queries using SELECT, FROM and WHERE clauses, joins, aggregation, null values, triggers and indexes. The document also discusses SQL standards over time and commercial database implementations of SQL features.
Introduction to relational model, Terminologies, Types of keys, Relational Algebra, Fundamental operations, Additional operations, Extended operations, Null values, Modification of the database
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. It covers the history and components of SQL, data definition and manipulation languages, basic query structure, predicates, null values, and set operations in SQL. Key topics include the CREATE TABLE statement, data types, integrity constraints, SELECT statements, joins, ordering results, and aggregate functions.
This document provides an overview of SQL and relational database concepts. It describes the history and standards of SQL, data definition and domain types in SQL, basic query structure including the SELECT, FROM, and WHERE clauses, and DML operations like INSERT, DELETE, and ALTER TABLE. Examples of table schemas and queries involving joins, aggregation, and renaming are provided to illustrate SQL syntax and capabilities.
SQL operators include arithmetic, comparison, and logical operators. Arithmetic operators are used to perform math operations like addition and subtraction. Comparison operators compare values, returning TRUE if the conditions are met. Logical operators combine multiple conditions and can negate outputs. Range and pattern matching operators also allow searching for values within a specified range or matching a pattern using wildcards. The document provides examples of using various SQL operators like BETWEEN, LIKE, and arithmetic/comparison operators to search a sample student table.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. The chapter introduces SQL, including its history, data definition language, data types, basic query structure using SELECT, FROM, and WHERE clauses, and additional query capabilities like aggregation, subqueries and string operations. It also covers modifying the database using INSERT, DELETE, ALTER and DROP statements.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. It discusses the history and standards of SQL, the data definition language for creating tables with attributes and constraints, basic query structure using SELECT, FROM, and WHERE clauses, and examples of joins, renaming, and self joins.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. The chapter introduces SQL, including its history, data definition language, data types, basic query structure using SELECT, FROM, and WHERE clauses, and additional query capabilities like aggregation, subqueries, string operations and more. Examples are provided throughout to illustrate SQL concepts and syntax.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. The chapter introduces SQL, including its history, data definition language, data types, basic query structure using SELECT, FROM, and WHERE clauses, and additional query capabilities like aggregation, subqueries and string operations. The document is made up of multiple slides that cover these SQL topics at a high-level.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. It introduces SQL, covering its history, data definition language, data types, CREATE TABLE statement, integrity constraints, updating tables, basic query structure using SELECT, FROM, and WHERE clauses, and examples of joins, renaming, and self joins.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. It introduces SQL, covering its history, data definition language, data types, CREATE TABLE statement, integrity constraints, updating tables, basic query structure using SELECT, FROM, and WHERE clauses, and examples of joins, renaming, and self joins.
The document discusses SQL SELECT statements and their capabilities. It explains how to write basic SELECT statements to retrieve data from one or more tables, including selecting specific columns, filtering rows, sorting results, and performing calculations. It also covers JOIN operations, including inner joins to combine data from multiple tables and self joins to join a table to itself.
The document discusses SQL SELECT statements and their capabilities. It explains how to write basic SELECT statements to retrieve data from one or more tables, including selecting specific columns, filtering rows, sorting results, and performing calculations. It also covers JOIN operations, including inner joins to combine data from multiple tables and self joins to join a table to itself.
SQL is a database query language used to store and manage data in relational database management systems (RDBMS). The basic structure of an SQL query includes a SELECT clause to specify the attributes to retrieve, a FROM clause to specify the tables to query, and an optional WHERE clause to filter rows. Common SQL operators allow queries to select, filter, order, rename, and relate data across multiple tables in a database.
This document discusses different types of joins in SQL, including:
1) Equijoins to retrieve records that match between two tables using column equality.
2) Nonequijoins using operators like BETWEEN to join on non-equal columns.
3) Outer joins to return both matching and non-matching record results from the left or right tables.
4) Self-joins to join a table to itself.
5) Cross joins to generate the Cartesian product between two tables without a join condition.
Similar to SQL Joins - Oracle SQL Fundamentals (20)
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
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.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
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.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
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:
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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.
1. SQL Fundamentals Oracle 11g
M U H A M M A D WA H E E D
O R AC L E DATA BA S E D E V E LO P E R
E M A I L : m .wa h e e d 3 6 6 8 @ g m a i l . co m
Lecture#7
SQL Joins/SELECT on Multiple Tables
3. Cartesian Product(cont’d)
•A Cartesian product is formed when
- A join condition is omitted
- A join condition is invalid
- All rows are joined to the all rows in second table
•To avoid it, use valid join condition in WHERE clause
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4. Cartesian Product(cont’d)
•Example:
i- SELECT s.std_id, s.std_name,r.sub_id,r.obt_marks
FROM student s, result r;
ii- SELECT s.std_id, s.std_name,r.sub_id,r.obt_marks
FROM student s, result r
WHERE s.std_id = r.result_id;
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5. Types of Joins
There are following commonly used joins:
•Equijoin
•Non-equijoin
•Outer join
•Self join
*Note: join condition is always mentioned in WHERE clause
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10. Equijoin(cont’d)
•Example(more than two tables in join):
SELECT s.std_id, s.std_name,r.sub_id,r.obt_marks
FROM student s, result r, subject ss
WHERE s.std_id = r.std_id AND ss.sub_id = r.sub_id
AND r.obt_marks>65;
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11. Non-Equijoin
•A join condition containing something other than equality
operator.
•Example:
SELECT t.tch_id, t.tch_name,t.salary,s.sal_grade
FROM teacher t, salary_grade s
WHERE t.salary BETWEEN s.min_sal AND s.max_sal;
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12. Outer Join
•A join condition which is used to display those rows that doesn’t
meet join criteria.
•Outer join operator is plus sign ‘+’.
•There are two types of outer join
- Left outer join
- Right outer join
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13. Outer Join(cont’d)
•Example(left join):
SELECT s.std_id, s.std_name, r.obt_marks
FROM student s, result r
WHERE s.std_id (+)= r.std_id;
•Example(right join):
SELECT s.std_id, s.std_name, s.dept_id
FROM student s, department d
WHERE s.dept_id = d.dept_id(+);
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14. Self Join
•A join condition where a table having it’s own primary key
as foreign key in itself.
•Example: manager_id of employee table is employee_id
itself.
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