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
When Web-based business applications communicate with each other, producer applications ENQUEUE messages and consumer applications DEQUEUE messages. Advanced Queuing provides database-integrated message queuing functionality. Advanced Queuing leverages the functions of the Oracle database so that messages can be stored persistently, propagated between queues on different machines and databases, and transmitted using Oracle Net Services, HTTP(S), and SMTP.
DUCAT offers exclusive Oracle 11g Development Training & certification program with live project by industry expert In Noida, Ghaziabad, Gurgaon, Faridabad, Greater Noida, Jaipur
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
When Web-based business applications communicate with each other, producer applications ENQUEUE messages and consumer applications DEQUEUE messages. Advanced Queuing provides database-integrated message queuing functionality. Advanced Queuing leverages the functions of the Oracle database so that messages can be stored persistently, propagated between queues on different machines and databases, and transmitted using Oracle Net Services, HTTP(S), and SMTP.
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.
Waiting too long for Excel's VLOOKUP? Use SQLite for simple data analysis!Amanda Lam
** This workshop was conducted in the Hong Kong Open Source Conference 2017 **
Excel formulas can be quite slow when you're processing data files with thousands of rows. It's also especially difficult to maintain the files when you have some messy mixture of VLOOKUPs, Pivot Tables, Macros and VBAs.
In this interactive workshop targeted for non-coders, we will make use of SQLite, a very lightweight and portable open source database library, to perform some simple and repeatable data analysis on large datasets that are publicly available. We will also explore what you can further do with the data by using some powerful extensions of SQLite.
While SQLite may not totally replace Excel in many ways, after the workshop you will find that it can improve your work efficiency and make your life much easier in so many use cases!
Who should attend this workshop?
- If you're frustrated with the slow performance of Excel formulas when dealing with large datasets in your daily work
- No coding experience is required
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.
Waiting too long for Excel's VLOOKUP? Use SQLite for simple data analysis!Amanda Lam
** This workshop was conducted in the Hong Kong Open Source Conference 2017 **
Excel formulas can be quite slow when you're processing data files with thousands of rows. It's also especially difficult to maintain the files when you have some messy mixture of VLOOKUPs, Pivot Tables, Macros and VBAs.
In this interactive workshop targeted for non-coders, we will make use of SQLite, a very lightweight and portable open source database library, to perform some simple and repeatable data analysis on large datasets that are publicly available. We will also explore what you can further do with the data by using some powerful extensions of SQLite.
While SQLite may not totally replace Excel in many ways, after the workshop you will find that it can improve your work efficiency and make your life much easier in so many use cases!
Who should attend this workshop?
- If you're frustrated with the slow performance of Excel formulas when dealing with large datasets in your daily work
- No coding experience is required
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.
Creating ESS Jobs for Oracle Fusion BIP ReportsGurpreet singh
Topics:
1. Introduction to ESS Jobs
2. Creating ESS Jobs for Fusion BIP Reports
3. Running the ESS Job
In Oracle Fusion Cloud, an Enterprise Scheduler Service (ESS) job is a scheduled process that automates the execution of various business processes and tasks. ESS jobs enable users to manage, schedule, and monitor the execution of these processes without manual intervention, ensuring that tasks are performed consistently and on time.
Types of ESS Jobs: Predefined & Custom ESS Jobs
This will show all the steps to create Data Model and ESS Job for the BIP Report in Oracle Fusion Cloud
It covers:
Why Messaging System? – Problems without Messaging system
What is a Messaging System?
Types of Messaging Systems
Examples of Messaging Systems
Understanding Flex Fields with Accounting Flexfields(Chart of Accounts) in O...Gurpreet singh
A flexfield is a flexible data field that your organization can customize to your business needs without programming.
A flexfield is a field which is made up of subfields or segments.
A flexfield appears on your form as a popup window that contains a prompt for each segment. Each segment has a name and a set of valid values.
Also covers how to create custom Key Flexfield
***First Half***
Introduction to Oracle Fusion Middleware and Oracle ADF
Getting started with JDeveloper
Building a Business Model with ADF Business Components
Querying and persisting data
Exposing Data
Declaratively Customizing Data Services
Programmatically Customizing Data Services
Validating User Inputs
***Second Half***
Understanding UI Technology
Binding UI Components to Data
Planning the User Interface
Passing values between UI Elements
Responding to Application Events
Implementing Transactional Capabilities
Generic programming is a style of computer programming in which algorithms are written in terms of types to-be-specified-later that are then instantiated when needed for specific types provided as parameters.
Generics are a facility of generic programming that were added to the Java programming language in 2004 within version J2SE 5.0. They were designed to extend Java's type system to allow “a type or method to operate on objects of various types while providing compile-time type safety”
The Java collections framework supports generics to specify the type of objects stored in a collection instance.
In computer science, a stream is a sequence of data elements made available over time. A stream can be thought of as items on a conveyor belt being processed one at a time rather than in large batches.
Streams are processed differently from batch data :
*Normal functions cannot operate on streams as a whole, as they have potentially unlimited data, and formally
*Streams are codata (potentially unlimited), not data (which is finite).
This contains:
*Getting started with New Dynamic Web Project
*Starting the tomcat server
*Running your project
*Changing the context root
*Changing welcome pages of your website
A business group is the highest level of organization and the largest grouping of employees across which you may report. A Business Group holds a complete, self-contained set of information on work structures, remuneration policies and employees. Each Business Group can have just one particular set of segments defined for its Job, Position, Grade, Employee Group and Cost Allocation key flex fields.
A business group is a basically Human Resources organization to which you assign employees. You assign each operating unit to a business group in the financial options setup. You can assign the same business group to different operating units including to operating units in different financial sets of books. You can setup a separate business group for each operating unit if you want to segregate and maintain each group of employees separately. Oracle provides one setup business group you can use.
Locations are shared across Business Groups in HRMS and with two other Oracle applications: Inventory and Purchasing. HRMS does not use some of the fields in the Location window. These fields are disabled for HRMS users. For example, the Legal Address check box is read-only and supports future functionality in Oracle Financials.
By default, the “Approvals Management Administrator” and “Approvals Management Business Analyst” responsibilities do not have any functions associated with them, because their access is restricted by Role Based Access Control (RBAC).
So we need to assign role AME_BUS_ANALYST to user
An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulation. PL/SQL language is rich in built-in operators
What is PL/SQL?
PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7).
PL/SQL (Procedural Language extensions to SQL) is designed specifically for the seamless processing of SQL commands. PL/SQL stored and compiled in the database, runs within the Oracle executable and inherits the robustness, security, and portability of the Oracle Database.
Features of PL/SQL
Syntax of PL/SQL
Using comments
Variable Declaration
Printing messages
Sample Program
A data flow diagram (DFD) is a graphical representation of the "flow" of data through an information system, modeling its process aspects.
Why DFD technique is so Popular?
Symbols used in DFD
Constructing DFD Models
Data Dictionary
Developing the DFD model of System
Level O DFD or Context Diagram
Level 1 DFD
Strengths of DFD Model
Weaknesses of DFD Model
Ingenium Test is a Multiple Choice Questions (MCQ) based examination system that provides an easy to use environment for both Test Conductors (Admin) and Students appearing for Examination. The main objective is to provide all the features that an Examination System must have, with the "interfaces that doesn't Scare it's Users!". The purpose of Ingenium Test is to take test in an efficient manner and no time wasting for checking the paper.
Computer Graphics and its applications, Elements of a Graphics, Graphics Systems: Video Display Devices, Raster Scan Systems, Random Scan Systems, Input devices.
: Introduction of Rendering, Raytracing, Antialiasing, Fractals
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
3. Oracle Database, SQL3
Joins
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.
Let’s say we have two sets of data in our relational database: table A and table B, with some sort of relation
specified by primary and foreign keys. The result of joining these tables together can be visually represented by
the following diagram:
4. Oracle Database, SQL4
Joins
The extent of the overlap, if any, is determined by how many records in Table A match the records in Table B.
Depending on what subset of data we would like to select from the two tables, the four join types can be
visualized by highlighting the corresponding sections of the Venn diagram:
5. Oracle Database, SQL5
Joins
The extent of the overlap, if any, is determined by how many records in Table A match the records in Table B.
Depending on what subset of data we would like to select from the two tables, the four join types can be
visualized by highlighting the corresponding sections of the Venn diagram:
6. Oracle Database, SQL6
JoinsImagine you’re running a store and would like to record information about your customers and their orders. By
using a relational database, you can save this information as two tables that represent two distinct entities:
customers and orders.
CUSTOMERS
ORDERS
7. Oracle Database, SQL7
Joins
Note that the orders table contains two keys: one for the order and one for the customer who placed that
order. In scenarios when there are multiple keys in a table, the key that refers to the entity being described
in that table is called the Primary Key (PK) and other key is called a Foreign Key (FK).
In our example, order_id is a primary key in the orders table, while customer_id is both a primary key in the
customers table, and a foreign key in the orders table. Primary and foreign keys are essential to describing
relations between the tables, and in performing SQL joins.
12. Oracle Database, SQL12
Sub Queries
A sub query is a SQL query nested inside a larger query.
A sub query may occur in :
- A SELECT clause
- A FROM clause
- A WHERE clause
The sub query can be nested inside a SELECT, INSERT, UPDATE, or DELETE statement or inside another sub
query.
A sub query is usually added within the WHERE Clause of another SQL SELECT statement.
You can use the comparison operators, such as >, <, or =. The comparison operator can also be a multiple-
row operator, such as IN, ANY, or ALL.
A sub query is also called an inner query or inner select, while the statement containing a sub query is also
called an outer query or outer select.
The inner query executes first before its parent query so that the results of an inner query can be passed to
the outer query.
You can use a sub query in a SELECT, INSERT, DELETE, or UPDATE statement to perform the following tasks:
Compare an expression to the result of the query.
Determine if an expression is included in the results of the query.
Check whether the query selects any rows.
13. Oracle Database, SQL13
Sub Queries
• The sub query (inner query) executes once before the main query (outer query)
executes.
• The main query (outer query) use the sub query result.
14. Oracle Database, SQL14
Sub Queries
There are some guidelines to consider when using sub queries :
A sub query must be enclosed in parentheses.
A sub query must be placed on the right side of the comparison operator.
Sub queries cannot manipulate their results internally, therefore ORDER BY
clause cannot be added into a sub query. You can use an ORDER BY clause in
the main SELECT statement (outer query) which will be the last clause.
Use single-row operators with single-row sub queries.
If a sub query (inner query) returns a null value to the outer query, the outer
query will not return any rows when using certain comparison operators in a
WHERE clause.
15. Oracle Database, SQL15
Sub Queries
Types of Sub Queries:
Single row sub query : Returns zero or one row.
Multiple row sub query : Returns one or more rows.
Multiple column sub queries : Returns one or more columns.
Correlated sub queries : Reference one or more columns in the outer SQL
statement. The sub query is known as a correlated sub query because the sub
query is related to the outer SQL statement.
Nested sub queries : Sub queries are placed within another sub query.
16. Oracle Database, SQL16
Sub Queries
A single row sub query returns zero or one row to the outer SQL statement. You can place
a sub query in a WHERE clause, a HAVING clause, or a FROM clause of a SELECT
statement.
17. Oracle Database, SQL17
Sub Queries
Multiple row sub query returns one or more rows to the outer SQL statement. You may use
the IN, ANY, or ALL operator in outer query to handle a sub query that returns multiple
rows.
You can use the ANY operator to compare a value with any value in a list. You must place
an =, <>, >, <, <= or >= operator before ANY in your query. The following example uses
ANY to check if any of the agent who belongs to the country 'UK'.
18. Oracle Database, SQL18
Sub Queries
Multiple column sub query returns more than one columns to the outer SQL statement.
19. Oracle Database, SQL19
Sub Queries
SQL Correlated Sub queries are used to select data from a table referenced in the outer
query. The sub query is known as a correlated because the sub query is related to the outer
query. In this type of queries, a table alias (also called a correlation name) must be used to
specify which table reference is to be used.
The alias is the pet name of a table which is brought about by putting directly after the
table name in the FROM clause. This is suitable when anybody wants to obtain information
from two separate tables.
20. Oracle Database, SQL20
Sub Queries
A sub query can be nested inside other sub queries. SQL has an ability to nest queries
within one another. A sub query is a SELECT statement that is nested within another
SELECT statement and which return intermediate results. SQL executes innermost sub
query first, then next level.