Tamr Insights

Integrating data correction throughout the pipeline and leveraging expert sources are key steps in gaining better data quality through better feedback.

Too much dirty data, too many types of data & too many data sources. Traditional management & cleaning methods can’t handle them quickly enough to matter.

Harnessing metadata in a robust catalog opens dramatic opportunities for organizations. Four best practices can help you do just that.

Architectural lessons learned from Data Hubs and how Tamr's hybrid design allows it to tame radical data variety at scale.

Although we’ve debated the risks and benefits of data lakes in past posts, we understand the tremendous appeal for enterprises trying to harness the Big Data Variety opportunity. Today, business users expect fast access to all the data available to…

ETL, like most software, has evolved and expanded since its inception.

Connecting and enriching data is a worthy challenge for information-driven enterprises, but data management in the enterprise isn't a one-time project.

Tamr's Mike Stonebraker discusses how a scalable Data Curation platform can help enterprises connect and enrich their data so they can leverage all of it.

How Tamr matches records even when the sources do not share identifiers or data representations: string similarity functions.