Data Quality

As the data-as-a-service ecosystem continues to evolve, data brokers are faced with an unprecedented challenge – demonstrating the value of their data. Successfully crafting and selling a compelling data product relies on a broker’s ability to differentiate their product from the rest of the market. In smaller or static datasets, measures like row count and cardinality can speak volumes. However, when datasets are in the terabytes or petabytes though – differentiation becomes much more difficult. On top of that “data quality” is a somewhat ill-defined term and the definition of a “high quality dataset” can change daily or even hourly. ...

In this episode of The Data Standard, Catherine Tao and Vinoo Ganash talk about large-scale data and data processing challenges. Vinoo starts the conversation by explaining his current obligations and how his company uses data to find working solutions for a wide range of problems. Then he talks about OLTP and OLAP models and how large-scale data can help improve workflows and offer better results. Optimization is needed for every specific application, and Vinoo talks about the methods he uses to enhance existing platforms. Even when the newly developed systems show positive results, the work is never done, as optimization is a constant, dynamic process. ...