YoVDO

Linux Daemon with Go: Build a Webpage Database Crawler

Offered By: Coursera Project Network via Coursera

Tags

Go Courses Databases Courses MySQL Courses Data Extraction Courses Cloud Native Computing Courses

Course Description

Overview

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Do you know that over 75% of projects in the Cloud Native Computing Foundation, including Docker and Kubernetes, are written in Go? This Guided Project was created to help learners create database applications that can run as background processes or daemons using Go. More specifically, in this 1.5-hour long project-based course, you will develop a Linux daemon, communicate with web servers using HTTP, as well as extract key data from textual raw data. To achieve this, you will create a web article database crawler application by working through a scenario where you are an intermediate-level Go developer for a tech company. In order to be successful in this project, you will need to know the fundamentals of Go including slices, functions, and error handling. MySQL connection and row update with Go ("Relational Database with Go: Build an Article Search Engine" highly recommended).

Syllabus

  • Project Overview
    • Do you know that over 75% of projects in the Cloud Native Computing Foundation, including Docker and Kubernetes, are written in Go? This Guided Project was created to help learners create database applications that can run as background processes or daemons using Go. More specifically, in this 1.5-hour long project-based course, you will learn how develop Linux daemon, communicating with web servers using HTTP, as well as extracting key data from textual raw data. To achieve this, you will create a web article database crawler application by working through a scenario where you are an intermediate-level Go developer for a tech company. In order to be successful in this project, you will need to know the fundamentals of Go including slices, functions, and error handling. MySQL connection and row update with Go ("Relational Database with Go: Build an Article Search Engine" highly recommended).

Taught by

Harrison Kong

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