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Big Data is a broad term for large and complex datasets where traditional data processing applications are inadequate. The integration of this huge data sets is quite complex. Accuracy in managing big data will lead to more confident decision making.

Data integration continues to primarily be an IT-centric activity based on the data, database and technology know-how needed. Typically, data integration platforms are purchased, managed and used by IT groups responsible for BI, data warehousing, master data management and other data management programs.

In computing, extract, transform, load (ETL) refers to a process in database usage and especially in data warehousing. ETL systems commonly integrate data from multiple applications (systems), typically developed and supported by different vendors or hosted on separate computer hardware.

Data integration tools overview. Data integration is the process of combining data from different sources with the goal of providing a unified view of the combined data. This lets you query and manipulate all of your data from a single interface, perform analytics, and generate statistics.

The Bureau of Economic Analysis uses these data for the nation's Gross Domestic Product (GDP) estimates and in developing the national accounts' input-output tables. The Bureau of Labor Statistics uses these data as input to its Producer Price Indices and in developing productivity measurements. Trade and professional organizations use these data t

The company provides enterprise software solutions for big data, data integration, data management, master data management, data quality, data preparation and enterprise application integration.