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Data Architecture for Data Engineers. Practical approaches to building scalable, efficient data solutions with real-world applications Manas Jain

Książka w języku angielskim angielski
Data Architecture for Data Engineers. Practical approaches to building scalable, efficient data solutions with real-world applications Manas Jain - okladka książki

Data Architecture for Data Engineers. Practical approaches to building scalable, efficient data solutions with real-world applications Manas Jain - okladka książki

Data Architecture for Data Engineers. Practical approaches to building scalable, efficient data solutions with real-world applications Manas Jain - audiobook MP3

Data Architecture for Data Engineers. Practical approaches to building scalable, efficient data solutions with real-world applications Manas Jain - audiobook CD

Autor:
Manas Jain
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
222
Dostępne formaty:
     PDF
     ePub

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Data Architecture for Data Engineers helps data engineers move beyond pipelines and tools to understand how scalable data solutions are designed.
Starting with the foundations, you will learn the principles behind data architecture, including governance, data quality, security, scalability, accessibility, lineage, and stewardship. You’ll then work through data modeling and database design, comparing conceptual, logical, and physical models, relational databases, NoSQL databases, columnar databases, normalization, denormalization, and trade-offs behind design choices. The book then moves into data pipelines, covering ingestion, processing, storage, ETL, ELT, batch and real-time processing, monitoring, optimization, and robust design. You will compare data lakes, data warehouses, lakehouses, data mesh, and data fabric, and see where AWS, Azure, Databricks, Delta Lake, Snowflake, and pipeline tools fit into modern architectures. Practical scenarios show how industries shape requirements and why architecture must follow the use case, not trend.
By the end, you will have a view of data solutions and a framework for choosing solutions that fit business needs.

O autorze książki

Manas Jain is a data architecture specialist with more than two decades of experience in advanced analytics, data engineering, modern data platforms, and cloud-focused architecture. He has worked on data strategy, data mesh, data products, governance frameworks, and large-scale platform modernization initiatives, helping organizations design solutions that are practical, scalable, and aligned with business needs. He is also a Udemy instructor and has trained professionals on modern data architecture, AWS, Azure, data engineering, and real-world solution design. An Electrical Engineering graduate from IIT Kanpur, Manas connects architecture with execution so data platforms serve engineers, business teams, governance teams, and consumers.

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