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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verk�ufers 9798895447284

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Titel: Data Engineering Fundamentals (Paperback)
Verlag: Notion Press
Ver�ffentlichungsdatum: 2024
Sprache: Englisch
ISBN-13: 9798895447284
Bindung: Paperback
Zustand: new

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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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