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The Definitive Guide to Data Integration

You're reading from   The Definitive Guide to Data Integration Unlock the power of data integration to efficiently manage, transform, and analyze data

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837631919
Length 490 pages
Edition 1st Edition
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Authors (4):
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Raphaël MANSUY Raphaël MANSUY
Author Profile Icon Raphaël MANSUY
Raphaël MANSUY
Pierre-Yves BONNEFOY Pierre-Yves BONNEFOY
Author Profile Icon Pierre-Yves BONNEFOY
Pierre-Yves BONNEFOY
Emeric CHAIZE Emeric CHAIZE
Author Profile Icon Emeric CHAIZE
Emeric CHAIZE
Mehdi TAZI Mehdi TAZI
Author Profile Icon Mehdi TAZI
Mehdi TAZI
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Toc

Table of Contents (19) Chapters Close

Preface 1. Chapter 1: Introduction to Our Data Integration Journey 2. Chapter 2: Introducing Data Integration FREE CHAPTER 3. Chapter 3: Architecture and History of Data Integration 4. Chapter 4: Data Sources and Types 5. Chapter 5: Columnar Data Formats and Comparisons 6. Chapter 6: Data Storage Technologies and Architectures 7. Chapter 7: Data Ingestion and Storage Strategies 8. Chapter 8: Data Integration Techniques 9. Chapter 9: Data Transformation and Processing 10. Chapter 10: Transformation Patterns, Cleansing, and Normalization 11. Chapter 11: Data Exposition and APIs 12. Chapter 12: Data Preparation and Analysis 13. Chapter 13: Workflow Management, Monitoring, and Data Quality 14. Chapter 14: Lineage, Governance, and Compliance 15. Chapter 15: Various Architecture Use Cases 16. Chapter 16: Prospects and Challenges 17. Index 18. Other Books You May Enjoy

Going through the data exposition technologies

As we saw earlier, data needs vary widely, both in terms of user profiles and specific requirements. That’s why it’s essential to have tailored data exposition methods to meet each type of need. Depending on the size of the organization and the volume of the associated data, it may be beneficial to utilize one or multiple exposition systems.

Streams expositions

Data streaming is an advanced practice in data engineering that involves making data available in real time as it is generated.

This practice grants immediate access to data from various sources, such as sensors, social media platforms, and financial transactions.

The advantages of data streaming are particularly significant in fast-paced sectors such as finance, manufacturing, transportation, and logistics, where swift, informed decisions can influence competitiveness.

This chapter delves into the technology and applications associated with data streaming...

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