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Course Curriculum Course Introduction Introduction 00:04:00 Course Curriculum overview 00:04:00 Overview of Databases 00:08:00 SQL Environment Setup PostgreSQL Installation 00:13:00 Connecting to PostgreSQL using psql 00:04:00 Connecting to PostgreSQL using PgAdmin 00:07:00 Creating Database and Tables Basic of Database and Tables 00:06:00 Data Types 00:07:00 Primary Keys and Foreign Keys 00:04:00 Create Table in SQL Script 00:17:00 Insert 00:05:00 Update 00:05:00 Delete 00:03:00 Alter Table 00:05:00 Drop Table 00:02:00 Check Constraint 00:12:00 NOT NULL Constraint 00:04:00 UNIQUE Constraint 00:06:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:07:00 SELECT Statement 00:12:00 SELECT DISTINCT 00:10:00 Column AS Statement 00:07:00 COUNT 00:07:00 SELECT WHERE Clause - One 00:06:00 SELECT WHERE Clause - Two 00:11:00 ORDER 00:05:00 LIMIT 00:04:00 BETWEEN keyword usage on real time 00:08:00 IN Operator 00:06:00 LIKE and ILIKE 00:10:00 GROUP BY Statements Overview of GROUP BY 00:03:00 Aggregation Function 00:12:00 GROUP BY - One 00:05:00 GROUP BY - Two 00:06:00 HAVING on SQL Statement 00:04:00 JOINS Overview of JOINS 00:07:00 Introduction to JOINS 00:06:00 AS Statement table 00:05:00 INNER Joins 00:14:00 Full Outer Joins 00:04:00 Left Outer join 00:03:00 Right Outer Join 00:05:00 Union 00:05:00 Advanced SQL Commands Basic of Advanced SQL Commands 00:04:00 Timestamps 00:17:00 Extract from Timestamp 00:05:00 Mathematical Functions 00:06:00 String Functions 00:16:00 SubQuery 00:08:00 Databases and Tables Overview of Databases and Tables 00:02:00 Creating a Database backup 00:03:00 Restoring a Database from backup 00:04:00 Mock Exam Mock Exam - The Complete SQL from Scratch: Bootcamp 00:20:00 Final Exam Final Exam - The Complete SQL from Scratch: Bootcamp 00:20:00
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Description Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession. This SQL Masterclass: SQL for Data Analytic is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market. In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible. Enrol right now and start exploring SQL, the most popular relational database management system. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. SQL for Data Analytic - Beginner Level Module: 01 Introduction FREE 00:16:00 Tools for Creating Views 00:11:00 Examples 00:21:00 Updating Data Using a View 00:13:00 Columns and Indexed Views 00:18:00 Module: 02 Introduction Stored Procedures 00:18:00 Creating Stored Procedures 00:19:00 Returning Data 00:14:00 Module: 03 Testing and Debugging 00:17:00 Execute with Result Sets 00:11:00 Creating Triggers 00:26:00 Module: 04 Overview and Scalar Functions 00:20:00 Inline Table Valued Functions 00:11:00 Multi Statement 00:16:00 Views and Stored Procedures 00:18:00 Module: 05 Transaction Concepts 00:30:00 Applications and Transactions 00:13:00 Creating Explicit Transactions 00:29:00 Structured Error Handling 00:25:00 Module: 06 Introduction to SQL CLR 00:08:00 Writing SQL CLR Code 00:24:00 Using SQL CLR Code 00:22:00 SQL CLR Code 00:13:00 SQL CLR Security 00:20:00 SQL for Data Analytic - Intermediate Level Module: 07 Topic A Aggregates FREE 00:27:00 Topic B User Defined Types 00:17:00 Topic C Table and Functions 00:10:00 Topic D Managing Code Modules 00:08:00 Module: 08 Topic A Introduction Data Tools 00:19:00 Topic B Connected Database Development 00:20:00 Topic C Updating a Connected Database 00:16:00 Module: 09 Topic A Creating New Objects with TSQL 00:12:00 Topic B Comparing Database Schemas 00:10:00 Topic C Offline Database Development 00:13:00 Topic D Database Project Settings 00:18:00 Module: 10 Topic A Using APPLY 00:15:00 Topic B MERGE Statement 00:23:00 Topic C Creating Recursive Queries 00:08:00 Topic D Grouping Sets 00:12:00 Module: 11 Topic A ROLLUP and CUBE Operators 00:12:00 Topic B Creating Pivot Queries 00:14:00 Topic C Executing Dynamic SQL 00:28:00 Module: 12 Topic A Complex Query Execution 00:26:00 Topic B Using Execution Plans 00:16:00 Topic C Execution Plan Operators 00:12:00 Topic D Common Join Operators 00:16:00 Module: 13 Topic A Hierarchy ID Data Type 00:12:00 Topic B Exploring a Hierarchy 00:09:00 Topic C Sparse Columns 00:16:00 Topic D Column Sets 00:12:00 Module: 14 Topic A Filtered Indexes 00:09:00 Topic B FILESTREAM Storage 00:22:00 Topic C Adding Sequences to Queries 00:22:00 Module: 15 Topic A Introduction to Spatial Data 00:13:00 Topic B Spatial Data in SQL Server 00:23:00 Topic C Manipulating Spatial Shapes 00:10:00 Topic D Interactions Between Objects 00:09:00 SQL for Data Analytic - Advanced Level Module: 16 Topic A Partitioning FREE 00:20:00 Topic B Creating Partition Tables 00:30:00 Topic C Querying Partitions 00:14:00 Topic D Managing Partitions 00:17:00 Module: 17 Topic A Complex Querying 00:22:00 Topic B Rankings 00:15:00 Topic C SubQueries 00:21:00 Topic D Common Table Expressions 00:17:00 Module: 18 Topic A Complex Data and Structures 00:26:00 Topic B Efficient Queries 00:36:00 Topic C Complex Queries 00:17:00 Module: 19 Topic A XML Data Type 00:28:00 Topic B XML Schemas 00:17:00 Topic C Querying XML 00:20:00 Topic D Best Practices 00:08:00
This is a comprehensive course designed to provide a solid foundation in web development principles and practices. This course is intentionally structured to provide a technical understanding of web development concepts without delving into intricate implementation details. Anyone looking to better understand how web applications are built can take this course.
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Why choose this Master Spring boot 3.0 and MongoDB course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Master Spring boot 3.0 and MongoDB course for? Aspiring developers keen on mastering the Spring Boot-MongoDB synergy. Software engineers looking to deepen their understanding of advanced database operations. Students and coding enthusiasts eager to explore the latest tools in the development landscape. Professionals seeking to upgrade their skill set in line with industry demands. Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up. Career path MongoDB Developer: £40,000 - £60,000 Spring Boot Engineer: £45,000 - £70,000 Database Architect: £55,000 - £80,000 Full Stack Developer: £50,000 - £75,000 Java Developer (Specializing in Spring Boot): £45,000 - £65,000 API Integration Specialist: £50,000 - £70,000 Prerequisites This Master Spring boot 3.0 and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master Spring boot 3.0 and MongoDB was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. 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Course Curriculum Section 01: Introduction What is MongoDB 00:02:00 The Difference Between SQL and NoSQL 00:03:00 How to Choose Between SQL and NoSQL 00:04:00 Section 02: Prepare The Mongo Environment MongoDB UI Tools 00:01:00 Why Use Docker for Development 00:01:00 Create an Empty Docker Compose File 00:02:00 Mongo Server (Docker Compose) 00:04:00 Mongo Express (Docker Compose) 00:03:00 Run and Test 00:03:00 Section 03: Mongo Terms Collections and Documents in Mongo 00:03:00 Section 04: Bootstrapping The Application Create a New Spring Boot 3.0 Project 00:04:00 Project Structure 00:02:00 Include the Docker Compose with the Project and Run It 00:04:00 Project Architecture 00:03:00 Connect to MongoDB 00:03:00 Create a New Database 00:01:00 Understand Admin - Local and Config Databases 00:05:00 Create a Java Class 00:04:00 Transform the Java Class into a Collection 00:02:00 Create a Mongo Repository 00:02:00 Insert the First Data into the Collection 00:06:00 Create a Product Service 00:04:00 Save the product 00:03:00 Find Product by ID 00:01:00 Find All Products 00:01:00 Delete Product 00:01:00 Section 05: CRUD Operations Create Product Controller 00:02:00 Save Product Operation 00:02:00 Find All Products 00:01:00 Find Product by ID 00:01:00 Delete Product 00:02:00 Test the CRUD Operations 00:06:00 Section 06: DBRef And Collections Relationships Extend the Product Model 00:02:00 Create Category Java Class 00:02:00 User Category as a Field 00:03:00 Relationship between Category and Product 00:01:00 Transform the Category to a Collection 00:01:00 Create a Category Repository 00:01:00 Insert Categories at Startup 00:02:00 The Issue in Linking Collections 00:03:00 Add Relationship Between Collections 00:04:00 Section 07: OpenApi Integration Add OpenApi Dependency 00:02:00 Test and Play with Swagger UI 00:06:00 Section 08: Documents Queries And Mongo Template Extend the Product Model 00:02:00 Create a Search Service 00:01:00 What is MongoTemplate 00:02:00 Is() Query 00:07:00 Testing the Is() Query 00:02:00 Regex() Query 00:06:00 Lt() Query 00:03:00 Gt() Query 00:02:00 Sorting Data 00:05:00 Paging and Sorting 00:06:00 Section 09: Query Methods Create a Query Method Service 00:03:00 FindByX Query 00:06:00 FinByX Ignore Case Query 00:02:00 FinByX starting with query 00:03:00 FinByX ending with query 00:02:00 FinByX containing query 00:04:00 FinByX less than 00:02:00 FinByX greater than 00:01:00 FinByX between 00:02:00 FinByX and SortByY 00:04:00 Paging and Sorting 00:07:00
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Learn to design, plan, and scale cloud implementations with Google Cloud Platform's BigQuery. This course will walk you through the fundamentals of applied machine learning and BigQuery ML along with its history, architecture, and use cases.
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Overview This SQL course will unlock your full potential and will show you how to excel in a career in SQL. So upskill now and reach your full potential. Everything you need to get started in SQL is available in this course. Learning and progressing are the hallmarks of personal development. This SQL will quickly teach you the must-have skills needed to start in the relevant industry. In This Mental Health Course, You Will: Learn strategies to boost your workplace efficiency. Hone your SQL skills to help you advance your career. Acquire a comprehensive understanding of various SQL topics and tips from industry experts. Learn in-demand SQL skills that are in high demand among UK employers, which will help you to kickstart your career. This SQL course covers everything you must know to stand against the tough competition in the SQL field. The future is truly yours to seize with this SQL. 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Any internet-connected device, such as a computer, tablet, or smartphone, can access this online SQL course. Course Curriculum Unit 01: Course and Instructor Introduction Course and Instructor Introduction 00:05:00 Unit 02: Laying out the foundation - Overview & Installation Pre-requisites & Different Editions of SQL Server 00:06:00 Downloading Express Edition & sample database 00:03:00 Installing the downloads & Configuration 00:19:00 The sa Login 00:04:00 Wrap up - what we went over! 00:01:00 Unit 03: Core concepts - Taming the RDBMS beast! What is RDBMS? 00:12:00 Where does SQL Server fit in? 00:02:00 Basic database objects 00:16:00 Different Files that got installed - MDF & LDF 00:03:00 Wrap up - what we went over! 00:01:00 Unit 04: Tool of the trade - SQL Server Management Studio Getting started with SSMS 00:07:00 Getting around Object Explorer 00:05:00 Query Window 00:06:00 Pre-built DB - system database 00:04:00 Wrap up - what we went over! 00:01:00 Unit 05: Simple SELECT Bare Minimum: SELECTING a literal 00:05:00 Retrieving / querying data from a table - using FROM clause 00:06:00 Playing with Column Names 00:03:00 Rearranging columns to your liking 00:01:00 Wrap up - what we went over! 00:01:00 Unit 06: Filtering out unwanted data Narrowing down and ordering result set - WHERE and ORDER clause 00:17:00 Narrowing down result set - BETWEEN / NOT BETWEEN 00:09:00 Narrowing down result set - IN and NOT IN operator 00:05:00 Narrowing down result set - Pattern Matching: LIKE and Wildcards 00:11:00 Wrap up - what we went over! 00:01:00 Unit 07: Expressions and Functions Dealing with nothing: NULL 00:06:00 Working with strings: Concatenation and other string functions 00:15:00 Working with dates: Date Functions 00:07:00 Some System Functions 00:05:00 Wrap up - what we went over! 00:02:00 Unit 08: Getting data out of multiple tables Joining multiple tables - INNER JOIN 00:09:00 Join types - OUTER JOIN - LEFT / RIGHT / FULL 00:08:00 Join types - CROSS JOIN 00:02:00 Holy UNION! 00:03:00 Subqueries 00:04:00 Wrap up - what we went over! 00:02:00 Unit 09: Summarizing and Grouping data DISTINCT and ALL Predicates 00:02:00 Aggregate Functions 00:03:00 GROUP BY clause / HAVING clause 00:04:00 WHERE and ORDER BY in aggregate queries 00:04:00 Wrap up - what we went over! 00:01:00 Unit 10: Bonus Bonus_Section 00:01:00