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Item #:
247262282
Data Engineering Fundamentals: Data Engineering Fundamentals
Item #:
247262282
GMD 2627
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- Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today’s data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you’ll explore a wide range of topics essential for managing and transforming data at scale.Key features include:Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines.Future-Ready Skills: Discover cutting-edge techniques in automation, machine learning integration, and cloud infrastructure.Whether you’re just beginning your journey or looking to advance your career, this book equips you with the essential knowledge and skills to become a proficient data engineer. Start transforming data into actionable insights with Data Engineering Fundamental today!Author got an Amazon Bestseller for his Generative AI book in different category.
| Publisher | Independently published |
| Publication date | December 6, 2023 |
| Language | English |
| Print length | 291 pages |
| ISBN-13 | 979-8870964058 |
| Item Weight | 1.12 pounds (510 grams) |
| Dimensions | 6 x 0.66 x 9 inches (15.2 x 1.7 x 22.9 cm) |
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Data Engineering Fundamentals: Data Engineering Fundamentals
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