-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating

The Definitive Guide to Data Integration
By :

The Definitive Guide to Data Integration
By:
Overview of this book
The Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data.
This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics.
By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.
Table of Contents (19 chapters)
Preface
In Progress
| 0 / 9 sections completed |
0%
Chapter 1: Introduction to Our Data Integration Journey
In Progress
| 0 / 6 sections completed |
0%
Chapter 2: Introducing Data Integration
In Progress
| 0 / 6 sections completed |
0%
Chapter 3: Architecture and History of Data Integration
In Progress
| 0 / 7 sections completed |
0%
Chapter 4: Data Sources and Types
In Progress
| 0 / 5 sections completed |
0%
Chapter 5: Columnar Data Formats and Comparisons
In Progress
| 0 / 4 sections completed |
0%
Chapter 6: Data Storage Technologies and Architectures
In Progress
| 0 / 5 sections completed |
0%
Chapter 7: Data Ingestion and Storage Strategies
In Progress
| 0 / 6 sections completed |
0%
Chapter 8: Data Integration Techniques
In Progress
| 0 / 6 sections completed |
0%
Chapter 9: Data Transformation and Processing
In Progress
| 0 / 7 sections completed |
0%
Chapter 10: Transformation Patterns, Cleansing, and Normalization
In Progress
| 0 / 4 sections completed |
0%
Chapter 11: Data Exposition and APIs
In Progress
| 0 / 6 sections completed |
0%
Chapter 12: Data Preparation and Analysis
In Progress
| 0 / 5 sections completed |
0%
Chapter 13: Workflow Management, Monitoring, and Data Quality
In Progress
| 0 / 4 sections completed |
0%
Chapter 14: Lineage, Governance, and Compliance
In Progress
| 0 / 4 sections completed |
0%
Chapter 15: Various Architecture Use Cases
In Progress
| 0 / 6 sections completed |
0%
Chapter 16: Prospects and Challenges
In Progress
| 0 / 5 sections completed |
0%
Index
In Progress
| 0 / 2 sections completed |
0%
Other Books You May Enjoy
In Progress
| 0 / 4 sections completed |
0%
Customer Reviews