| 1. Create and activate a virtual environment.html | 102.4 B | ||
| 1. Creating database user.mp4 | 17.2 MB | ||
| 1. Creating database user.srt | 4.4 KB | ||
| 1. Install Oracle.mp4 | 43.9 MB | ||
| 1. Install Oracle.srt | 9 KB | ||
| 1. Introduction.mp4 | 1.5 MB | ||
| 1. Introduction.srt | 614.4 B | ||
| 1. What is Python.mp4 | 16.8 MB | ||
| 1. What is Python.srt | 4.6 KB | ||
| 1. What is SSIS.mp4 | 18.2 MB | ||
| 1. What is SSIS.srt | 2.9 KB | ||
| 1. What is Visual Studio.mp4 | 24.3 MB | ||
| 1. What is Visual Studio.srt | 4.6 KB | ||
| 1. What is an API.mp4 | 5.2 MB | ||
| 1. What is an API.srt | 2 KB | ||
| 1. What is web scraping.mp4 | 13.7 MB | ||
| 1. What is web scraping.srt | 3.8 KB | ||
| 1. What we will scrape.mp4 | 20.7 MB | ||
| 1. What we will scrape.srt | 4.3 KB | ||
| 10. Install Visual Studio Code.mp4 | 31.8 MB | ||
| 10. Install Visual Studio Code.srt | 7 KB | ||
| 10. Running SSIS Package.mp4 | 30.5 MB | ||
| 10. Running SSIS Package.srt | 3.7 KB | ||
| 2. Building the web scraping script part 1.mp4 | 29.1 MB | ||
| 2. Building the web scraping script part 1.srt | 7.2 KB | ||
| 2. Creating repository.mp4 | 11.4 MB | ||
| 2. Creating repository.srt | 2.6 KB | ||
| 2. Install Python Packages.mp4 | 5.8 MB | ||
| 2. Install Python Packages.srt | 2.1 KB | ||
| 2. Installing Python on Windows.mp4 | 23 MB | ||
| 2. Installing Python on Windows.srt | 4.1 KB | ||
| 2. Please Read.html | 307.2 B | ||
| 2. Unlock Sample Schema.mp4 | 12.7 MB | ||
| 2. Unlock Sample Schema.srt | 4.9 KB | ||
| 2. Web Scraping and Web Crawling.html | 2.4 KB | ||
| 2. What is ETL.mp4 | 19.5 MB | ||
| 2. What is ETL.srt | 5.7 KB | ||
| 2. What is SQL Server.mp4 | 11.2 MB | ||
| 2. What is SQL Server.srt | 2.5 KB | ||
| 2. YouTube Data API.mp4 | 55.9 MB | ||
| 2. YouTube Data API.srt | 8.4 KB | ||
| 3. Building the web scraping script part 2.mp4 | 32.9 MB | ||
| 3. Building the web scraping script part 2.srt | 7.1 KB | ||
| 3. Configuring third party database connection part 1.mp4 | 30.4 MB | ||
| 3. Configuring third party database connection part 1.srt | 6.7 KB | ||
| 3. Create a Python File.mp4 | 14.5 MB | ||
| 3. Create a Python File.srt | 4 KB | ||
| 3. Install Oracle SQL Developer.mp4 | 52.8 MB | ||
| 3. Install Oracle SQL Developer.srt | 9.6 KB | ||
| 3. Install Visual Studio.mp4 | 33.4 MB | ||
| 3. Install Visual Studio.srt | 7.7 KB | ||
| 3. Installing Python on Macs.mp4 | 29.9 MB | ||
| 3. Installing Python on Macs.srt | 5.4 KB | ||
| 3. SQL Server Editions.mp4 | 28.6 MB | ||
| 3. SQL Server Editions.srt | 4.7 KB | ||
| 3. Using Google Sheets to save scraped data.mp4 | 17.5 MB | ||
| 3. Using Google Sheets to save scraped data.srt | 4 KB | ||
| 3. What is Robot.txt.html | 1.6 KB | ||
| 3. What is an ETL Pipeline.html | 204.8 B | ||
| 4. Building the first Scraper Part 1.mp4 | 46.9 MB | ||
| 4. Building the first Scraper Part 1.srt | 9.6 KB | ||
| 4. Configuring third party database connection part 2.mp4 | 34.2 MB | ||
| 4. Configuring third party database connection part 2.srt | 8.7 KB | ||
| 4. Connect SQL Developer to Oracle.mp4 | 29.9 MB | ||
| 4. Connect SQL Developer to Oracle.srt | 7 KB | ||
| 4. Create Variables.mp4 | 38.3 MB | ||
| 4. Create Variables.srt | 7.2 KB | ||
| 4. Create a virtual environment on Windows.mp4 | 16.3 MB | ||
| 4. Create a virtual environment on Windows.srt | 4.8 KB | ||
| 4. Download SQL Server.mp4 | 23.2 MB | ||
| 4. Download SQL Server.srt | 5.3 KB | ||
| 4. ETL Pipeline Requirements.html | 716.8 B | ||
| 4. Legality of Web Scraping.html | 1.2 KB | ||
| 4. Prototyping the script Part 1.mp4 | 15.2 MB | ||
| 4. Prototyping the script Part 1.srt | 6.1 KB | ||
| 4. Visual studio workloads.mp4 | 18.1 MB | ||
| 4. Visual studio workloads.srt | 4.6 KB | ||
| 5. Activate a virtual environment on Windows.mp4 | 4.4 MB | ||
| 5. Activate a virtual environment on Windows.srt | 1.7 KB | ||
| 5. Building the first Scraper Part 2.mp4 | 32.7 MB | ||
| 5. Building the first Scraper Part 2.srt | 6 KB | ||
| 5. Capturing source data.mp4 | 36.3 MB | ||
| 5. Capturing source data.srt | 8.3 KB | ||
| 5. Checks before web scraping.html | 2.3 KB | ||
| 5. Install SQL Server.mp4 | 62.5 MB | ||
| 5. Install SQL Server.srt | 12.1 KB | ||
| 5. Install Source Database.mp4 | 20.3 MB | ||
| 5. Install Source Database.srt | 4.1 KB | ||
| 5. Install Visual Studio Data Tools - SSDT.mp4 | 22.1 MB | ||
| 5. Install Visual Studio Data Tools - SSDT.srt | 4 KB | ||
| 5. Prototyping the script Part 2.mp4 | 11.7 MB | ||
| 5. Prototyping the script Part 2.srt | 4 KB | ||
| 5. Send emails from Python.mp4 | 8.3 MB | ||
| 5. Send emails from Python.srt | 1.7 KB | ||
| 6. Building the first Scraper Part 3.mp4 | 45.1 MB | ||
| 6. Building the first Scraper Part 3.srt | 6.4 KB | ||
| 6. Converting captured model to Oracle.mp4 | 9 MB | ||
| 6. Converting captured model to Oracle.srt | 2 KB | ||
| 6. Create a virtual environment on Macs.mp4 | 22.4 MB | ||
| 6. Create a virtual environment on Macs.srt | 5.3 KB | ||
| 6. Create destination database.mp4 | 25.8 MB | ||
| 6. Create destination database.srt | 4.9 KB | ||
| 6. Create functions Part 1.mp4 | 58.5 MB | ||
| 6. Create functions Part 1.srt | 12.1 KB | ||
| 6. Install SQL Server Management Studio.mp4 | 36.9 MB | ||
| 6. Install SQL Server Management Studio.srt | 5.9 KB | ||
| 6. Install SSIS Visual Studio Extension.mp4 | 38.8 MB | ||
| 6. Install SSIS Visual Studio Extension.srt | 7.4 KB | ||
| 6. Prototyping the script Part 3.mp4 | 24.4 MB | ||
| 6. Prototyping the script Part 3.srt | 6.4 KB | ||
| 7. Activate a virtual environment on Macs.mp4 | 12.4 MB | ||
| 7. Activate a virtual environment on Macs.srt | 2.4 KB | ||
| 7. Connect SSMS to SQL Server.mp4 | 32.4 MB | ||
| 7. Connect SSMS to SQL Server.srt | 8.9 KB | ||
| 7. Create a new SSIS Project.mp4 | 8.4 MB | ||
| 7. Create a new SSIS Project.srt | 2.4 KB | ||
| 7. Create functions Part 2.mp4 | 83.2 MB | ||
| 7. Create functions Part 2.srt | 13.8 KB | ||
| 7. Prototyping the script Part 4.mp4 | 28 MB | ||
| 7. Prototyping the script Part 4.srt | 7.2 KB | ||
| 7. Testing the first scraper.mp4 | 31.2 MB | ||
| 7. Testing the first scraper.srt | 6 KB | ||
| 7. Translating third party T-SQL Objects to Oracle.mp4 | 66.5 MB | ||
| 7. Translating third party T-SQL Objects to Oracle.srt | 10.9 KB | ||
| 8. Building the second Scraper.mp4 | 29.8 MB | ||
| 8. Building the second Scraper.srt | 5 KB | ||
| 8. Configure data source and data destination.mp4 | 39.1 MB | ||
| 8. Configure data source and data destination.srt | 6.1 KB | ||
| 8. Create functions Part 3.mp4 | 51.2 MB | ||
| 8. Create functions Part 3.srt | 10.1 KB | ||
| 8. Generating scripts to create target database.mp4 | 22.2 MB | ||
| 8. Generating scripts to create target database.srt | 2.6 KB | ||
| 8. Install Sample Database.mp4 | 32.6 MB | ||
| 8. Install Sample Database.srt | 7 KB | ||
| 8. Prototyping the script Part 5.mp4 | 47.8 MB | ||
| 8. Prototyping the script Part 5.srt | 11.5 KB | ||
| 8. Updating Pip.mp4 | 6.6 MB | ||
| 8. Updating Pip.srt | 1.7 KB | ||
| 9. Data Transformation.mp4 | 28.5 MB | ||
| 9. Data Transformation.srt | 4 KB | ||
| 9. Install Beautiful Soup.mp4 | 27.4 MB | ||
| 9. Install Beautiful Soup.srt | 5.9 KB | ||
| 9. Moving data from SQL Server into Oracle.mp4 | 60.8 MB | ||
| 9. Moving data from SQL Server into Oracle.srt | 8.7 KB | ||
| 9. Testing the Script.mp4 | 24.4 MB | ||
| 9. Testing the Script.srt | 5 KB | ||
| 9. Testing the script.mp4 | 30.7 MB | ||
| 9. Testing the script.srt | 6.9 KB | ||
| 9. Testing the second scraper.mp4 | 39 MB | ||
| 9. Testing the second scraper.srt | 4.5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 152 total files | |||
Data Engineering - SSIS/ETL/Pipelines/Python/Web Scraping
https://DevCourseWeb.com
Published 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.96 GB | Duration: 79 lectures • 6h 30m
Creates ETL pipelines and extract data from the web.
What you'll learn
Creates ETL pipelines
Extract data from the web with Python
Create SSIS Package
Execute SSIS Package
Build Web Scraping Script
Prototype web scraping script
Configure data source and data destination
Clean and Transform Data
Perform Data migration from SQL Server to Oracle
Requirements
Basic knowledge of Python advised
Basic knowledge of database concepts advised
Description
A data engineer is someone who creates big data ETL pipelines, and makes it possible to take huge amounts of data and translate it into insights. They are focused on the production readiness of data and things like formats, resilience, scaling, and security.
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