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Seems like this data source was never ran before...
Changes are only available only when you have ran at least a second time.
Nope... guess no Martians around... Maybe set the webhook URL before pressing this button again...
Column 1 | Column 2 | Column 3 | origin_pattern | origin_url | createdAt | updatedAt | pingedAt |
---|---|---|---|---|---|---|---|
Advanced | Data Warehousing for Business Intelligence | Advanced | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Advanced | Machine Learning Engineering for Production (MLOps) | Advanced | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Beginner | Data Engineering Foundations | Beginner | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Beginner | IBM Data Engineering | Beginner | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Beginner | IBM Data Warehouse Engineer | Beginner | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Beginner | IBM DevOps and Software Engineering | Beginner | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Beginner | Introduction to Data Engineering | Beginner | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Intermediate | Data Engineering, Big Data, and Machine Learning on GCP | Intermediate | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Intermediate | Microsoft Azure Data Engineering Associate DP-203 Exam Prep | Intermediate | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Intermediate | Preparing for Google Cloud Certification: Cloud Data Engineer | Intermediate | https://www.coursera.org/search?query=data%20engineering | https://www.coursera.org/search?query=data%20engineering | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC | 2022-02-03 15:27:02 UTC |
Sample code snippets to quickly import data set into your application
For more information on how to automatically trigger an import please reference our WebHook API guide
Integrating with Java
import java.io.BufferedReader; import java.io.InputStreamReader; import java.net.URL; import java.net.URLConnection; import java.util.Arrays; public class HelloWorld { public static void main(String[] args) { try { URL urlCSV = new URL( "https://cache.getdata.io/n101888_0f951f064fe23cee851f4d8d4926fc32eses/latest_all.csv" ); URLConnection urlConn = urlCSV.openConnection(); InputStreamReader inputCSV = new InputStreamReader( ((URLConnection) urlConn).getInputStream() ); BufferedReader br = new BufferedReader(inputCSV); String line; String[] fields; while ((line = br.readLine()) != null) { // Each row fields = line.split(","); System.out.println(Arrays.toString(fields)); } // clean up buffered reader br.close(); } catch (Exception e) { System.out.println(e.getMessage()); } } }
Integrating with NodeJs
const csv = require('csv-parser'); const https = require('https'); const fs = require('fs'); const file = fs.createWriteStream("temp_download.csv"); const request = https.get( "https://cache.getdata.io/n101888_0f951f064fe23cee851f4d8d4926fc32eses/latest_all.csv", function(response) { response.pipe(file); } ); file.on('finish', function() { file.close(); fs.createReadStream('temp_download.csv').pipe(csv()).on('data', (row) => { // Each row console.log(row); }).on('end', () => { console.log('CSV file successfully processed'); }); });
Integrating with PHP
$data = file_get_contents("https://cache.getdata.io/n101888_0f951f064fe23cee851f4d8d4926fc32eses/latest_all.csv"); $rows = explode("\n",$data); $s = array(); foreach($rows as $row) { # Each row var_dump( $row); }
Integrating with Python
import csv import urllib2 url = 'https://cache.getdata.io/n101888_0f951f064fe23cee851f4d8d4926fc32eses/latest_all.csv' response = urllib2.urlopen(url) cr = csv.reader(response) for row in cr: # Each row print row
Integrating with Ruby
require 'open-uri' require 'tempfile' require 'csv' temp_file = Tempfile.new( "getdata", :encoding => 'ascii-8bit') temp_file << open("https://cache.getdata.io/n101888_0f951f064fe23cee851f4d8d4926fc32eses/latest_all.csv").read temp_file.rewind CSV.foreach( open(uri), :headers => :first_row ).each do |row| # Each row puts row end