Oracle for database for backend programming and development

Module 1: SQL Overview Outlining SQL as the cornerstone of database activity Applying the ANSI/ISO standards Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys Module 2: Building the Database Schema - Creating tables and columns Building tables with CREATE TABLE Modifying table structure with ALTER TABLE Adding columns to an existing table Removing tables with DROP TABLE - Protecting data integrity with constraints Guaranteeing uniqueness with primary key constraints Enforcing integrity with foreign key constraints Imposing business rules with check constraints - Improving performance with indexes Expediting data retrieval with indexes Recommending guidelines for index creation Module 3: Manipulating Data - Modifying table contents Adding table rows with INSERT Changing row content with UPDATE Removing rows with DELETE - Applying transactions Controlling transactions with COMMIT and ROLLBACK Deploying BEGIN TRANSACTION in SQL Server Module 4: Working with the SELECT Statement - Writing Single Table queries Retrieving data with SELECT Specifying column expressions Sorting the result with ORDER BY Handling NULL values in expressions - Restricting rows with the WHERE filter Testing for equality or inequality Applying wildcard characters Avoiding NULL value pitfalls Module 5: Querying Multiple Tables - Applying the ANSI/ISO standard join syntax Matching related rows with INNER JOIN Including nonmatched rows with OUTER JOIN Creating a Cartesian product with CROSS JOIN - Combining results with set operators Stacking results with UNION Identifying matching rows with INTERSECT Utilizing EXCEPT to find nonmatching rows Module 6: Employing Functions in Data Retrieval - Processing data with row functions Conditional formatting with the CASE expression Utilizing the CASE expression to simulate IF tests Dealing with NULL values - Performing analysis with aggregate functions Summarizing data using SUM, AVG and COUNT Finding the highest/lowest values with MAX and MIN Defining the summary level with GROUP BY Applying filter conditions with HAVING Module 7: Constructing Nested Queries - Applying subqueries in filter conditions Creating correlated vs. noncorrelated subqueries Testing the existence of rows - Including subqueries in expressions Placing subqueries in the column list Creating complex expressions containing subqueries Handling subqueries that return no rows Module 8: Developing In-Line and Stored Views - Breaking down complex problems Selecting data from a query result set Using subqueries in the FROM clause - Creating views in a database Building reusable code Creating updateable vs. non-updateable views

Je propose des cours complets en Power BI, analyse de données, science des données et algorithmes d'apprentissage profond, adaptés à tous les niveaux d'expérience. Mon approche pédagogique se concentre sur l'acquisition de compétences pratiques, vous permettant d'appliquer directement ce que vous apprenez dans des projets réels. Dans le cadre de mes cours de gestion de données, vous apprendrez à transformer vos données en visualisations interactives et informatives, en maîtrisant les techniques de création de tableaux de bord, de rapports et d'analyses visuelles. Vous découvrirez également comment connecter différentes sources de données et optimiser vos modèles pour des insights pertinents. En ce qui concerne l’analyse de données, vous développerez une compréhension approfondie des méthodes statistiques et analytiques, vous permettant de tirer des conclusions significatives à partir de vos données. Vous serez initié aux outils et aux techniques de manipulation des données, y compris l'utilisation de langages de programmation tels que Python, R, PowerBI ou TABLEAU. Dans le domaine de la science des données, nous explorerons les étapes clés du processus de data science, de la collecte et le nettoyage des données à la modélisation et à la validation des résultats. Vous serez également introduit aux algorithmes d’apprentissage profond, apprenant à construire et à entraîner des modèles neuronaux pour des applications variées, allant de la reconnaissance d'image à la prévision. Chaque cours est structuré autour de projets pratiques et de cas d’étude, afin de vous préparer à relever des défis réels en matière d’analyse et d’interprétation des données. Si vous êtes prêt à développer vos compétences en Power BI, analyse de données, science des données et apprentissage profond.

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Java lessons include understanding the basics of programming, control flow, handling data, objects, and exceptions. Teaches user interface development and advanced concepts in Java programming. Oracle Database lessons provide a comprehensive and in-depth understanding of data management concepts using the Oracle Database system. The course covers topics such as database design, managing tables and indexes, and advanced SQL queries. The program also includes studying security and data protection, optimization and performance improvement using various Oracle tools. Allows students to understand how to effectively create and maintain Oracle databases, as well as learn to use graphical data management tools and SQL commands to perform basic and advanced tasks. Information security focuses on protecting information from cyber threats. Covers topics such as securing networks and data, penetration testing, and managing digital identities to enhance digital security.

I am a working professional and I can best teach you basics of programming with real world examples. I can also teach best industry standard principles and help to improve ur knowledge .Also help to clear technical interviews and coding practise.

Oracle RDBMS architecture, Oracle engine, instances, schemas, roles, privileges, users, resources, quotas, tablespaces, segments, redo logs, archive log, tables, partitions, indexes, constraints, views, materialized views, job queues, virtual data base , distributed data base, data guard, rman, compression & encryption, data types, triggers, special administration packages, PL/Sql, data pump, import/export, Sqlldr, external tables, dynamic Sql, V$ views, Enterprise manager, Sql Developer, directories, Sql tuning, execution plan, tkprof, LOB management, XML & Json drivers, dynamic Sql, Data base modeling, Star schema, Snowflake schema, integrity checks, Data quality, Data versioning.

This class is designed to provide students with a foundational understanding of web design principles and techniques. The course will cover a variety of topics including HTML, CSS, layout design, color theory, typography, and responsive design. Students will learn how to create a website from scratch, starting with the basic structure of an HTML document, and then adding styling and layout using CSS. They will also explore the design principles that are essential to creating an effective and aesthetically pleasing website, such as color schemes, typography, and spacing. The class will involve a combination of lectures, discussions, and hands-on exercises to help students develop their design skills. Students will be required to complete several projects throughout the course, including designing a simple website and creating a responsive design that works on multiple devices. By the end of the class, students will have gained the skills and knowledge necessary to create functional and visually appealing websites that are optimized for a variety of devices and platforms. This class is ideal for anyone who wants to learn the basics of web design, including individuals interested in creating their own personal or professional websites, as well as designers and developers who want to expand their skillset.

Oracle developed by Oracle Corporation is the most popular relational database system (RDBMS). Not only Oracle is a RDBMS, but also provides functionality for Cloud, Document Store, Graph DBMS, Key-value storage, BLOG, and PDF Storages. Recently. Oracle just announced an autonomous feature that allows databases to be intelligent and self-managed. Oracle database is a relational database (RDBMS). Relational databases store data in a tabular form of rows and columns. Column of a database table represents the attributes of an entity and rows of a table store records. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database. One characteristic of an RDBMS is the independence of physical data storage from logical data structures. In Oracle Database, a database schema is a collection of logical data structures or schema objects. A database user owns a database schema, which has the same name as the user name. Schema objects are user-created structures that directly refer to the data in the database. The database supports many types of schema objects, the most important of which are tables and indexes. A schema object is one type of database object. Some database objects, such as profiles and roles, do not reside in schemas. Database Rank 1 Oracle 1268.84 2 MySQL 1154.27 3 Microsoft SQL Server 1040.26 4 PostgreSQL 466.11 5 MongoDB 387.18 6 IBM Db2 179.85 7 Redis 149.01 8 Elasticsearch 143.44 9 Microsoft Access 141.62 10 SQLite 126.8 ...

Computer science is the study of algorithmic processes, computational machines and computation itself. As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software.

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