Introduction to Data Engineering (Daniel Beach).pdf
With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming an in-demand skill. Data Engineering requires a unique skill set that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!
Introduction Chapter 1 - The Theory Chapter 2 - Data Pipeline Basics Chapter 3 - Pipeline Architecture Chapter 4 - Storage Chapter 5 - Compute and Resources Chapter 6 - Mastering SQ Chapter 7 - Data Warehousing / Data Lakes Chapter 8 - Data Modeling Chapter 9 - Data Quality Chapter 10 - DevOps for Data Engineers
Introduction to Data Engineering (Daniel Beach).pdf
With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming an in-demand skill. Data Engineering requires a unique skill set that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!
Introduction Chapter 1 - The Theory Chapter 2 - Data Pipeline Basics Chapter 3 - Pipeline Architecture Chapter 4 - Storage Chapter 5 - Compute and Resources Chapter 6 - Mastering SQ Chapter 7 - Data Warehousing / Data Lakes Chapter 8 - Data Modeling Chapter 9 - Data Quality Chapter 10 - DevOps for Data Engineers
BY Python 🐍 Work With Data
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The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.
The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.
