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Data Engineering Fundamentals: A Step by Approach
Barnes and Noble
Data Engineering Fundamentals: A Step by Approach
Current price: $30.00
Barnes and Noble
Data Engineering Fundamentals: A Step by Approach
Current price: $30.00
Size: Hardcover
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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.
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.