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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
Do you want to create outstanding apps with SwiftUI? Moreover, are you eager to build up your professional portfolio and show up in your next job interview with confidence? This complete iOS application development course is designed to teach you how to become an advanced multiplatform app developer using Apple's native user interface framework: SwiftUI.
Embark on a transformative journey into the realm of cutting-edge development with our course, 'Master Spring Boot 3.0 and MongoDB.' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities. In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery. Learning Outcomes Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods. Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems. Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions. Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications. Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases. 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. 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
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.
Duration 2 Days 12 CPD hours This course is intended for This SQL training course is designed for students new to writing SQL queries. Overview Upon successful completion of this course, students will be able to: - Understand how relational databases work - Use SQL to output reports - Write queries to obtain data from multiple tables. Students will learn SQL to build applications or to generate business reports.The SQL learned in the course is applicable to all major databases. Relational Database Basics Brief History of SQL Relational Databases Popular Databases SQL Statements Simple SELECTs Introduction to the Northwind Database Some Basics SELECTing All Columns in All Rows Exploring the Tables SELECTing Specific Columns Sorting Records The WHERE Clause and Operator Symbols Using the WHERE clause to check for equality or inequality Using the WHERE clause to check for greater or less than Checking for NULL Using WHERE and ORDER BY Together The WHERE Clause and Operator Words More SELECTs with WHERE Checking Multiple Conditions Writing SELECTs with Multiple Conditions Advanced SELECTs Calculated Fields Calculating Fields Aggregate Functions and Grouping Working with Aggregate Functions Built-in Data Manipulation Functions Data Manipulation Functions Subqueries, Joins and Unions Subqueries Joins Using Joins Outer Joins Unions Working with Unions If time allows, one or more of the following may be covered: Conditional Processing with CASE INSERT, UPDATE, DELETE Student Challenges - Design your own reports
Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data
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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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