Publisher's Synopsis
Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack
Key Features- Learn how to leverage modern data stack tools and technologies for effective data integration
- Design and implement data integration solutions with practical advice and best practices
- Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies
- Purchase of the print or Kindle book includes a free PDF eBook
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.
What you will learn- Discover the evolving architecture and technologies shaping data integration
- Process large data volumes efficiently with data warehousing
- Tackle the complexities of integrating large datasets from diverse sources
- Harness the power of data warehousing for efficient data storage and processing
- Design and optimize effective data integration solutions
- Explore data governance principles and compliance requirements
This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you're a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.
Table of Contents- Introduction to our data integration journey
- Introducing Data Integration
- Architecture and History of Data Integration
- Data Sources and Types
- Columnar Data Formats and comparisons
- Data Storage Technologies and Architectures
- Data Ingestion and Storage Strategies
- Data Integration Techniques
- Data Transformation and Processing
- Transformation patterns, cleansing and normalization
- Data Exposition and APIs
- Data Preparation and Analysis
- Workflow Management, Monitoring, and Data Quality
- Lineage, Governance, and Compliance
- Various Architecture Use Cases
- Prospects and Challenges
