Watch Building Data Pipelines Using Python Tutorial | Data Pipelines Using Python Course Video Tutorial


Tutorial Details & Info

Tutorial Title: Building Data Pipelines Using Python Tutorial | Data Pipelines Using Python Course
Instructor / Channel: Alpha Brains Courses
Lesson Runtime: 37:29 Minutes
Publish Date: May 06, 2023
Total Students / Views: 17,560 views

Master the concepts in Building Data Pipelines Using Python Tutorial | Data Pipelines Using Python Course presented by Alpha Brains Courses. This full video course has a total duration of 37:29 minutes with detailed practical demonstrations. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

*About This Course* This Python 3 course teaches data professionals how to create data pipelines and automate workflows using various frameworks like Airflow and Luigi. Assumes intermediate-level Python experience and covers important workflow concepts. Gain practical experience in parallelizing data analysis and writing data tests using property-based testing. If you are involved in ANY form of online collaboration, then have I got the all-in-one solution for you! Try it here (it's completely free) - https://www.taskade.com/?via=taskade Check out Sam Beckam's video for a detailed video: https://www.youtube.com/watch?v=-FNhjy2xpZ0&t=1s ``` Show your Love & Support: https://www.patreon.com/alphabrains ☕️ [Buy me a coffee!] (https://www.buymeacoffee.com/alphabrains) Would Help me make more content like this one :) ``` *Timestamp* *Introduction* 0:00:00 Welcome To The Course *Automation 101* 0:02:23 Introduction To Automation 0:05:11 Adventures With Servers 0:11:48 Being A Good Systems Caretaker 0:17:51 What Is A Queue? 0:20:23 What Is A Consumer? What Is A Producer? *Easy Task Processing With Celery* 0:22:23 Why Celery? 0:24:12 Celery Architecture & Set Up 0:29:37 Writing Your First Tasks 0:37:26 Deploying Your Tasks 0:43:34 Scaling Your Workers 0:52:26 Monitoring With Flower 0:57:31 Advanced Celery Features**** *Scaling Data Analysis With Dask* 1:03:31 Why Dask? 1:06:32 First Steps With Dask 1:16:40 Dask Bags 1:26:58 Dask Distributed *Data Pipelines With Luigi & Airflow* 1:36:56 Python Data Pipelines 1:37:06 What Are Data Pipelines? What Is Dag? 1:39:43 Luigi And Airflow: A Comparison 1:45:33 First Steps With Luigi 1:52:45 More Complex Luigi Tasks 2:02:02 Introduction To Hadoop 2:10:23 First Steps With Airflow 2:18:30 Custom Tasks With Airflow 2:27:46 Advanced Airflow: Subdags And Branches 2:39:03 Using Luigi With Hadoop *Other Workflow Frameworks* 2:49:18 Apache Spark 2:57:46 Apache Spark Streaming 3:04:18 Django Channels 3:13:57 And Many More *Testing With Pipelines* 3:19:56 Testing pipelines 3:20:06 Introduction To Testing With Python 3:27:30 Property-Based Testing With Hypothesis *Conclusion* 3:33:39 What's Next? *SEO* #howtobuilddatapipelines ,#BuildingDataPipelinesUsingPythonTutorial , #BuildingDataPipelinesWithPython

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Building Data Pipelines Using Python Tutorial | Data Pipelines Using Python Course taught by Alpha Brains Courses. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Building Data Pipelines Using Python Tutorial | Data Pipelines Using Python Course.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Alpha Brains Courses with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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