Startup Striim Inc. today announced a new version of its real-time data integration platform, adding new sources and targets for reading and writing data using its built-in adapters.. With the ...

Heterogeneous sources produce data sets of different formats and structures. Now, diverse schemas complicate the scope of data integration and require significant mapping to combine the data sets.

In contrast, data integration combines data from different sources to deliver a unified view to users. In the case of data integration, these sources are not always from other systems but are ...

Open-source data integration startup Airbyte Inc. has come up with an easy way for Amazon Web Services Inc. customers to replicate data from dozens of popular sources to their Amazon Simple Storage Se ...

Integrating data is one of the thorniest challenges in business intelligence and analytics – achieving it is technically and organisationally complex, while it is gaining in importance all the time.

AI can improve data integration by automating and quickly accomplishing what used to be manual or time-consuming tasks. ... Combining data coming from different sources could raise privacy concerns.

Big data analytics—touted as today's path to competitive advantage can only be effective if it presents a clear and consistent picture of what’s happening in and around the enterprise. There’s the rub ...

I just spent some time looking at Apatar, a company that's offering an extract, transform, load (ETL) and data integration solution under the GPL (with commercial support subscriptions available ...

Enterprise data is critical to business success. Companies around the world understand this and leverage platforms such as Snowflake to make the most of information streaming in from various ...

The data integration process begins by extracting data from disparate sources, like databases, flat files, web services or other applications. Once data is extracted, it is transformed to make it ...