Root Causes: Fixing Big Data Quality Problems Before They Start
Christophe Toum
Often, large changes in complex systems can be traced back to small, seemingly harmless incidents.  This is most apparent in Big Data, where inaccuracies and inconsistencies quickly grow into data quality problems that can threaten the success of your entire project.

Low-quality data leads to confusion, wasted resources, poor performance, and bad business value. The success of your project relies on strong governance practices, backed by a confident understanding of the root causes of your data quality problems.

In this class, we will discuss the consequences of poor data quality in your project, and will demonstrate how small tweaks to people, process and technology can lead to an agile approach to data management.

Level : Intermediate