Monthly Archives: December 2018

When it comes to big data, most companies are familiar with its volume, variety and velocity, but they may not be as attuned to data quality.

Database management can sometimes be challenging.

Data quality issues are derived from a number of sources, including inaccurate entry processes and migrating information to a new storage environment.

Big data projects are growing in abundance in the private sector, especially as more companies embrace cloud and mobile computing initiatives that enable them to accumulate more information in regard to operations.

Lack of data oversight could lead to long-term problems, as the best information archives have components that will last a long time as context for future analytics efforts.