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Robust Data Engineering: Key Techniques for Planning and Building Scalable and Reliable Data Systems-logo

Robust Data Engineering: Key Techniques for Planning and Building Scalable and Reliable Data Systems

Deena Conway

This audiobook is narrated by a digital voice. In today's data-driven world, businesses and organizations rely heavily on robust data systems to gain insights, make informed decisions, and drive innovation. This book serves as a comprehensive guide...

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Chapter 1: Foundations of Robust Data Engineering 2

1/11/2025
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Chapter 2: Defining Your Data Ecosystem 10

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Chapter 3: Choosing the Right Tools for the Job 18

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Chapter 4: Building Scalable Data Pipelines 25

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Chapter 5: Architecting for High Availability and Fault Tolerance 33

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Chapter 6: Data Warehousing and Business Intelligence 42

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Chapter 7: Introduction to Data Streaming 50

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Chapter 8: Leveraging the Power of Big Data 58

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Chapter 9: Machine Learning and the Data Pipeline 67

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Chapter 10: The Future of Data Engineering 76

1/11/2025