| 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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
| 001. 5.1 Degree or Decree.en.srt | 6 KB | ||
| 001. 5.1 Degree or Decree.mp4 | 18.7 MB | ||
| 002. 1.2 The Modern Data Landscape.en.srt | 1.9 KB | ||
| 002. 1.2 The Modern Data Landscape.mp4 | 14.7 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 | ||
| 002. 3.2 SQL or Python.en.srt | 1.4 KB | ||
| 002. 3.2 SQL or Python.mp4 | 5.4 MB | ||
| 002. 4.2 Hands-on Demo Dagster Assets.en.srt | 11.2 KB | ||
| 002. 4.2 Hands-on Demo Dagster Assets.mp4 | 58 MB | ||
| 002. 5.2 Range - Why Generalists Will Triumph Over Specialists.en.srt | 2 KB | ||
| 002. 5.2 Range - Why Generalists Will Triumph Over Specialists.mp4 | 12.3 MB | ||
| 003. 1.3 Data Warehouses and Lakehouses in the Context of AI.en.srt | 1 KB | ||
| 003. 1.3 Data Warehouses and Lakehouses in the Context of AI.mp4 | 4.5 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 | ||
| 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 | ||
| 003. 5.3 Some Final Thoughts.en.srt | 512 B | ||
| 003. 5.3 Some Final Thoughts.mp4 | 2 MB | ||
| 004. 2.4 Design for Performance.en.srt | 6.8 KB | ||
| 004. 2.4 Design for Performance.mp4 | 29 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 32 total files | |||
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.
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| 517.4 MB | freecoursewb | 5 days | 25 | 4 | |
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AI and the Future of Work - Workflows and Modern Tools for Tech Leaders (2026) Posted by
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275.5 MB | freecoursewb | 3 weeks | 0 | 0 |
| 469.7 MB | freecoursewb | 1 month | 2 | 3 | |
| 1.4 GB | freecoursewb | 2 months | 28 | 5 |
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