The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

JPA-based applications can't connect to a database on their own. Rather, they need help in terms of what credentials to use, which schema to seek, which JDBC driver to select and which annotated ...

The need for data integration has never been more intense than it has been recently. The Internet of Things and its muscular sibling, the Industrial Internet of Things, are now being embraced as a way ...

Data migration vs data integration: What’s the difference? Your email has been sent As much as data migration and data integration are understood as interchangeable, the two data strategies play very ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data science has become an important catalyst for innovation. With this, businesses can ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Data is the new oil, but raw data is no ...