The increasing generation of population-level single-cell atlases has the potential to link sample metadata with cellular data. Constructing such references requires integration of heterogeneous ...

Over the last decade, biology has begun utilizing ‘big data’ approaches, resulting in large, comprehensive atlases in modalities ranging from transcriptomics to neural connectomics. However, these ...

Systems biology is a rapidly evolving discipline that examines the complex interactions underlying biological function ...

Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of ...

Data integration and data ingestion are two IT disciplines that are often confused with one another. Here’s how they differ and the challenges you may encounter. With the increasing amount of data ...

In today’s hyperconnected world, the average enterprise juggles more than a 1,000 applications—a number projected to increase dramatically as innovation accelerates. Research firm IDC estimates that 1 ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Customer data integration (CDI) unifies data from multiple sources, creating a complete and accurate view of customers. It’s how your favorite online store knows exactly what you’re looking for—even ...

If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here’s what you need to know about these two processes.