Data Definition Language (DDL), Data Definition Language (DDL), Data Manipulation Language (DML) , Transaction Control Language (TCL) , Data Control Language (DCL) - , SQL Constraints
Data Definition Language (DDL), Data Definition Language (DDL), Data Manipulation Language (DML) , Transaction Control Language (TCL) , Data Control Language (DCL) - , SQL Constraints
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
This presentation deals with the fundamentals of SQL, Installation and Database concepts. Presented by our team in Alphalogic Inc: https://www.alphalogicinc.com/
This presentation gives a clear and concise description of joins in sql and several types of sql joins.
These slides also contains the pictorial representation as well as syntax for each type of joins.
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
This presentation deals with the fundamentals of SQL, Installation and Database concepts. Presented by our team in Alphalogic Inc: https://www.alphalogicinc.com/
This presentation gives a clear and concise description of joins in sql and several types of sql joins.
These slides also contains the pictorial representation as well as syntax for each type of joins.
(INNER) JOIN: , LEFT (OUTER) JOIN: ,RIGHT (OUTER) JOIN: , FULL (OUTER) JOIN: , SQL UNION Operator, SQL GROUP BY HAVING statement, The SQL EXISTS Operator, The SQL ANY and ALL Operators, The SQL SELECT INTO Statement, The SQL INSERT INTO SELECT StatementThe SQL INSERT INTO SELECT Statement
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
4. 4 EQUI JOIN Equi Join is a simple SQL join condition that uses EQUAL sign as the comparison operator Syntax: SELECT col1,col2,col3 FROM table1,table2 WHERE table1.col1=table2.col1; EQUI JOIN on product_master and customer_master tables: SELECT prod_name,prod_stock,quantity,deliver_by FROM product_master,customer_master WHERE order_id=prod_id; By this we can have an approximation of the quantity and date of products that need to be shipped out.
5. 5 OUTER JOINS OUTER join condition returns all rows from both tables which satisfy the join condition along with rows which do not satisfy the join condition from one of the tables. The SQL outer join operator in Oracle is ( + ) and is used on one side of the join condition only. Syntax: SELECT col1,col2 FROM table1,table2 WHERE table1.col1 (+) = table2.col1; OUTER JOIN on product_master table and customer_master: SELECTp.prod_id, p.prod_name, o.order_id, o.quantity FROM customer_master o, product_master p WHEREp.prod_id (+)= o.order_id ;
6. 6 CARTESIAN JOINS If a SQL join condition is omitted or if it is invalid the join operation will result in a Cartesian product. The Cartesian product returns a number of rows equal to the product of all rows in all the tables being joined. For example, if the first table has 20 rows and the second table has 10 rows, the result will be 20 * 10, or 200 rows. This query takes a long time to execute. SYNTAX: SELECT col1,col2 FROM table1,table2; CARTESIAN JOIN on product_master and customer_master: SELECTorder_id,prod_name FROMcustomer_master,product_master; Here each row from customer_master will be Mapped to each row of product_master.Here the This query contains 50 rows only 10 rows are Shown in the figure
7. 7 SELF JOINS A Self join is the type of SQL join where we join a particular table to itself. Here it is necessary to ensure that the join statement defines an ALIAS name for both the copies of the tables to avoid column ambiguity Syntax for Table Alias: SELECTs.first_nameFROMstudent_details s; In this query alias s is defined for the table student_details and the column first_name is selected from the table. Self Join on Course table: SELECTa.course_nameASCOURSE,b.course_nameAS PREREQUSITE_COURSE FROMcourse_ma,course_m b WHEREa.pre_course=b.course_id;
8. 8 NATURAL/CARTESIAN JOINS CARTESIAN JOIN is also known as NATURAL JOIN .The output of this join can be filtered using the WHERE clause. SELECTprod_ID,prod_name ,order_id,quantity FROM product_master NATURAL JOIN customer_master WHERE prod_name LIKE ('teak%') AND quantity=10;
9. 9 SUBQUERY IN SQL A Subquery is also called as an Inner query or a Nested query. It is a query inside another query. A subquery is usually added in the WHERE Clause of the SQL statement. Most of the time, a subquery is used when we know how to search for a value using a SELECT statement, but do not know the exact value. Subqueries are an alternate way of returning data from multiple tables Subqueries can be used with the following sql statements along with the comparision operators like =, <, >, >=, <= etc. Usually, a subquery should return only one record, but sometimes it can also return multiple records when used with operators like IN, NOT IN in the where clause. SELECT column….. FROM tablename WHERE SUBQUERY rown …… The result set of the subquery act as the condition set for the main query row1 The SELECT subquery statement
10. 10 SET OPERATORS Set operators combine the results of two component queries into a single result. Queries containing set operators are called compound queries. The Set Operators in SQL are:
11. 11 SET OPERATOR - UNION The UNION set operator is used to combine multiple subqueries and their outputs. The UNION clause merges the outputs of two or more subqueries into one in such a way that the Result set = Records only in query 1 + Records only in query 2 + A single set of records common to both query 1 and query 2 . Example: SELECT * FROM InfoTable WHERE age = 40 UNION SELECT * FROM InfoTable WHERE age = 45; Result Set Records from Query 1 Records from Query 2 Query 1 Query 2 Records common to both Queries
12. 12 SET OPERATOR - INTERSECT The INTERSECT set operator is used to combine multiple subqueries and their outputs. The INTERSECT clause merges the outputs of two or more subqueries into one in such a way that the Result set = A single set of records common to both query 1 and query 2 . Example: SELECT * FROM InfoTable WHERE age = 40 INTERSECT SELECT * FROM InfoTable WHERE age = 45; Result Set Records from Query 1 Records from Query 2 Query 1 Query 2 Records common to both Queries
13. 13 SET OPERATOR - MINUS The MINUS set operator is used to combine multiple subqueries and their outputs. The MINUS clause filters records from Second Query and common records and displays the remaining records. Result set = Records only in query 1 – [ Records only in query 2 + A single set of records common to both query 1 and query 2 ]. Example: SELECT * FROM InfoTable WHERE age = 40 MINUS SELECT * FROM InfoTable WHERE age = 45; Result Set Records from Query 1 Records from Query 2 Query 1 Query 2 Records common to both Queries and from Query 2 not included in the result set
14. THANK YOU 14 THANK YOU FOR VIEWING THIS PRESENTATION FOR MORE PRESENTATIONS AND VIDEOS ON ORACLE AND DATAMINING , please visit: www.dataminingtools.net