Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliografische Details

Titel: Data Engineering Fundamentals (Paperback)
Verlag: Notion Press
Erscheinungsjahr: 2024
Sprache: Englisch
ISBN-13: 9798895447284
Einband: Paperback
Zustand: new

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Inhaltsangabe

Data Engineering Fundamental: A Step by Step Approach
Unlock the Power of Data with Practical Guidance from a Data Engineering Expert

In 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.

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