Mastering SQL (Using MySQL, Java, and Go)

Bo0mB0oma · March 30, 2019

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .VTT | Duration: 21 hour | Size: 9.85 GB

A practical course to master SQL advanced queries using MySQL, and to connect Java & Golang to MySQL & PostgreSQL

What you'll learn

Write complex queries to address organizations business queries

Perform data analysis using SQL

Design and implement your own database (mainly using MySQL and partially using PostgreSQL)

Create tables, views, triggers, stored programs, and cursors

Design and implement four sample databases

Connect MySQL / PostgreSQL to Java and Go (Google Golang)

Requirements

To learn SQL, all you need is some general computer knowledge, and time and patience to learn the topics and to work on exercises and assignments

To connect MySQL and PostgreSQL to Java, you'll need prior Java experience, but code will be explained in detail

To connect MySQL and PostgreSQL to Go (Google Golang), you'll need prior Go experience, but code will be explained in detail

Description

Learning SQL (Structured Query Language), as the most commonly used database language, can be one of the greatest career decisions you make.

SQL is one of the most sought-after skills by hiring employers.

SQL that is the primary language responsible for managing data within a relational database management system (RDBMS) can be easily connected to any programming language.

SQL is a natural language for data analysis that is the center of every decision making process.

SQL is a productive language for writing queries and for performing CRUD (Create, Read, Update, Delete) operations on data.

SQL can be used by data scientists, data analysts, front- and back-end developers, business and systems analysts and in short anyone who's willing to analyze data.

In this practical course, you will:

Learn CRUD (Create, Read, Update, Delete) operations

Create complex queries across multiple tables

Analyze data and create reports accordingly

Write complex joins (inner, outer, full)

Write summary queries using aggregate functions

Write sub-queries

Utilize String/Numeric/Datetime functions

Analyze data, group the related data into separate entities (tables), establish relationships (1-1, 1-m, m-m) between tables, and apply referential integrity on tables

Write views, triggers, stored procedures, cursors, and stored functions

Four Comprehensive Assignments: Create four sample databases from scratch, as well as to write advanced queries for each assignment

Assignments: Learn how views, triggers, stored procedures, cursors, and stored functions can interact

Connect MySQL and PostgreSQL to Java

Connect MySQL and PostgreSQL to Go (Google Golang)

Who this course is for:

Developers, systems analysts, business analysts, or anyone willing to comfortably write SQL queries to analyze data and to address business needs

Anyone willing to create databases, tables, views, triggers, and stored programs

Anyone who wants to learn how use SQL (mainly MySQL and partially PostgreSQL) in Java and Go (Google Golang)

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