Modern Data Engineering Essentials

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 373.9 MB
  • Uploaded By freecoursewb
  • Downloads 159
  • Last checked 21 hours ago
  • Date uploaded 3 months ago
  • Seeders 9
  • Leechers 0

Infohash : 5832FE618CFDD1F9049EDBECCB1D357481573469



Modern Data Engineering Essentials

https://WebToolTip.com

Released 8/2025
By Christina Taylor
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 21m | Size: 374 MB

This video equips you with the knowledge and skills needed to engineer data for today’s large systems.

Overview
Modern Data Engineering Essentials presents the concepts and issues surrounding today’s big data and AI systems. You also gain hands-on experience with data tools and workflows. The video finishes with a discussion of education, experience, and credentials needed to develop your skills in the modern data world.

About the Instructor
Christina Taylor is a seasoned data engineer who is passionate about open-source, multi-cloud, scalable, and efficient data pipelines. She makes data informed architectural decisions to build modern systems that support advanced analytics, machine learning, and customer-facing product use cases. She has a keen interest in interdisciplinary areas such as DevOps, MLOps, and Cloud FinOps. She loves to learn, share, and contribute to the open source community.

Files:

[ WebToolTip.com ] Modern Data Engineering Essentials
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • Bonus Resources.txt (0.1 KB)
    • Lesson 1 - Modern Data Lakes
      • 001. 1.1 A Brief History of Big Data.en.srt (3.6 KB)
      • 001. 1.1 A Brief History of Big Data.mp4 (21.3 MB)
      • 002. 1.2 The Modern Data Landscape.en.srt (1.9 KB)
      • 002. 1.2 The Modern Data Landscape.mp4 (14.7 MB)
      • 003. 1.3 Data Warehouses and Lakehouses in the Context of AI.en.srt (1.0 KB)
      • 003. 1.3 Data Warehouses and Lakehouses in the Context of AI.mp4 (4.5 MB)
      Lesson 2 - Fundamentals of Database Engineering
      • 001. 2.1 Relational versus Non-relational Data Models.en.srt (1.8 KB)
      • 001. 2.1 Relational versus Non-relational Data Models.mp4 (11.2 MB)
      • 002. 2.2 Row versus Columnar Data Stores.en.srt (3.1 KB)
      • 002. 2.2 Row versus Columnar Data Stores.mp4 (12.3 MB)
      • 003. 2.3 Hands-on Demo Load Data into DuckDB.en.srt (8.6 KB)
      • 003. 2.3 Hands-on Demo Load Data into DuckDB.mp4 (32.8 MB)
      • 004. 2.4 Design for Performance.en.srt (6.8 KB)
      • 004. 2.4 Design for Performance.mp4 (29.0 MB)
      Lesson 3 - Data Transformation
      • 001. 3.1 Extract, Transform, Load versus Extract, Load, Transform.en.srt (4.1 KB)
      • 001. 3.1 Extract, Transform, Load versus Extract, Load, Transform.mp4 (29.9 MB)
      • 002. 3.2 SQL or Python.en.srt (1.4 KB)
      • 002. 3.2 SQL or Python.mp4 (5.4 MB)
      • 003. 3.3 Hands-on Demo dbt Core Setup.en.srt (21.8 KB)
      • 003. 3.3 Hands-on Demo dbt Core Setup.mp4 (100.5 MB)
      Lesson 4 - Workflow Orchestration
      • 001. 4.1 Putting It All Together Dagster Plus dbt.en.srt (3.3 KB)
      • 001. 4.1 Putting It All Together Dagster Plus dbt.mp4 (21.4 MB)
      • 002. 4.2 Hands-on Demo Dagster Assets.en.srt (11.2 KB)
      • 002. 4.2 Hands-on Demo Dagster Assets.mp4 (58.0 MB)
      Lesson 5 - Future of Data Engineering
      • 001. 5.1 Degree or Decree.en.srt (6.0 KB)
      • 001. 5.1 Degree or Decree.mp4 (18.7 MB)
      • 002. 5.2 Range - Why Generalists Will Triumph Over Specialists.en.srt (2.0 KB)
      • 002. 5.2 Range - Why Generalists Will Triumph Over Specialists.mp4 (12.3 MB)
      • 003. 5.3 Some Final Thoughts.en.srt (0.5 KB)
      • 003. 5.3 Some Final Thoughts.mp4 (2.0 MB)

There are currently no comments. Feel free to leave one :)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce
R2-CACHE ☁️ R2 (hit) | CDN: HIT (0s) 📄 torrent 🕐 04 Jan 2026, 07:35:35 pm IST ⏰ 29 Jan 2026, 07:35:34 pm IST ✅ Valid for 12d 20h 🔄 Refresh Cache