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The Definitive Guide to Data Integration

You're reading from The Definitive Guide to Data Integration

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781837631919

Pages 490 pages

Edition 1st Edition

Languages

Concepts

Data Engineering

Authors (4):

Pierre-Yves BONNEFOY

Emeric CHAIZE

Raphaël MANSUY

Mehdi TAZI

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Table of Contents (19) Chapters

Preface

Chapter 1: Introduction to Our Data Integration Journey

Chapter 2: Introducing Data Integration

Chapter 3: Architecture and History of Data Integration

Chapter 4: Data Sources and Types

Chapter 5: Columnar Data Formats and Comparisons

Chapter 6: Data Storage Technologies and Architectures

Chapter 7: Data Ingestion and Storage Strategies

Chapter 8: Data Integration Techniques

Chapter 9: Data Transformation and Processing

Chapter 10: Transformation Patterns, Cleansing, and Normalization

Chapter 11: Data Exposition and APIs

Chapter 12: Data Preparation and Analysis

Chapter 13: Workflow Management, Monitoring, and Data Quality

Chapter 14: Lineage, Governance, and Compliance

Chapter 15: Various Architecture Use Cases

Chapter 16: Prospects and Challenges

Index

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Summary

This chapter examined various data transformation methodologies, tools, and use cases, including filters, aggregations, and join. Each operation’s utility and function were stated, which enabled us to cover practical applications.

Next, we explored data transformation use cases in sales analysis, social media analysis, customer segmentation, and website analytics. These case studies demonstrate the concepts’ efficacy.

SQL and Spark, two key data transformation tools, dominated this chapter. SQL, a popular query language, is used to change data, whereas Spark is a powerful data processing engine. We compared SQL and Spark’s DataFrame API to show these tools’ adaptability.

Finally, we discussed the main data transformation techniques, which include event, batch, and stream processing. We emphasized their unique features and usefulness before covering windowing. After, you learned about data transformations through practical examples and were...

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Authors (4)

Pierre-Yves BONNEFOY

Pierre-Yves Bonnefoy is a versatile Data & Cloud Architect boasting over 20 years of experience across diverse technical and functional domains. With an extensive background in software development, systems and networks, data analytics, and data science, Pierre-Yves offers a comprehensive view of information systems. As the CEO of Olexya and CTO of Africa4Data, he dedicates his efforts to delivering cutting-edge solutions for clients and promoting data-driven decision making. As an active board member of French Tech Le Mans, Pierre-Yves enthusiastically supports the local tech ecosystem, fostering entrepreneurship and innovation while sharing his expertise with the next generation of tech leaders.

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Emeric CHAIZE

Emeric Chaize, with over 16 years of experience in data management and cloud technology, demonstrates profound knowledge of data platforms and their architecture, further exemplified by his role as President of Olexya, a Data Architecture company. His background in Computer Science and Engineering, combined with hands-on experience, has honed his skills in understanding complex data architectures and implementing efficient data integration solutions. His work at various small and large companies has demonstrated his proficiency in implementing cloud-based data platforms and overseeing data-driven projects, making him highly suited for roles involving data platforms and data integration challenges.

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Raphaël MANSUY

Raphaël Mansuy is a seasoned technology executive and entrepreneur with over 25 years of experience in software development, digital transformation, and AI-driven solutions. As a founder of several companies, he has demonstrated success in designing and implementing mission-critical solutions for global enterprises, creating innovative technologies, and fostering business growth. Raphaël is highly skilled in AI, data engineering, DevOps, and cloud-native development, offering consultancy services to Fortune 500 companies and startups alike. He is passionate about enabling businesses to thrive using cutting-edge technologies and insights.

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Mehdi TAZI

Mehdi TAZI is a Data & Cloud Architect with over 12 years of experience and the CEO of an IT consulting & Investment companies. He is specialized in distributed information systems and Data Architecture. Mehdi designs Information Systems Architectures that answer customers' needs by setting up technical, functional, and organizational solutions, as well as designing and coding in programming languages such as Java, Scala, or Python.

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