Data Engineering Design Patterns

The Snowflake Handbook: Optimizing Data Warehousing and Analytics

Practical Implementation of a Data Lake: Translating Customer Expectations into Tangible Technical Goals

Morgan Kaufman Series in Data Management Dw 2.0: The Architecture for the Next Generation of Data Warehousing (Paperback)

Designing Data-Intensive Applications - 2nd Edition by Martin Kleppmann & Chris Riccomini (Paperback)

Data Warehousing in the Age of Big Data

Ultimate Data Engineering with Databricks

Big Data Computing

Big Data Computing

Data-Intensive Systems Quickstart: The Practical Basics of Storage, Streams, and Scaling (Concept Maps + Diagrams + Design Checklists)

Data-Intensive Systems Quickstart: The Practical Basics of Storage, Streams, and Scaling (Concept Maps + Diagrams + Design Checklists)

Data Infrastructure Management

The Beginner s Guide to Data Science (Paperback)

Fundamentals of Software Engineering

Schaum's Outline of Data Structures with Java, 2ed

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

How to Think about Data Science

Data Science Landscape: Towards Research Standards and Protocols

UML Database Modeling Workbook (Paperback)

Oracle Data Integration: Tools for Harnessing Data

The Springer International Engineering a Information Organization and Databases: Foundations of Data Organization Book 579 (Paperback)

Data Science Data Science: A Comprehensive Beginners Guide to Learn the Realms of Data Science Book 1 (Hardcover)

Data Science at the Command Line

PACKAGE: DATABASE SYSTEMS

PACKAGE: DATABASE SYSTEMS

Data Pipelines with Apache Airflow

Data Science: Techniques and Intelligent Applications

streaming systems the what where when and how of large scale data processin

Cloud Application Architecture Patterns

Foundations of Data Science

Designing Data

Data Algorithms with Spark

Data Conversion Handbook

Systems Engineering of Software-enabled Systems

17th International Conference on Software Engineering and Data Engineering (Sede-2008)

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts

Implementing Data Mesh : Design, Build, and Implement Data Contracts, Data Products, and Data Mesh

Human-Centered Data Science: An Introduction

Fundamentals of Data Engineeri

Devops for Data Science

Mastering Data Engineering and Data Science: Data Engineering Demystified Think Like a Data Scientist Real-World Data Science for Everyone The Data En

Study Material for Database Management Systems