In today’s digital age, organizations generate and store massive amounts of data across multiple systems and platforms. However, without proper integration, this data can be siloed, inconsistent, and difficult to access. That’s where data integration comes in. Data integration is the process of combining data from different sources into a single, unified view, enabling organizations to better understand their data and make informed decisions. Whether you’re looking to streamline your data management, improve data quality, or make real-time data available for analysis, this guide will provide you with a comprehensive overview of the data integration process, including the different methods for integration, the challenges you may face, and best practices for success.

“Every company has big data in its future, and every company will eventually be in the data business.” — Thomas H. Davenport, co-founder of the International Institute for Analytics.

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