Data quality on Hadoop is becoming more important as more critical data is being stored there. Consider the automation and performance advantages of an on-Hadoop data quality solution which cleanses data without it ever leaving the cluster
- By Jake Dolezal
- October 3, 2016
Learn why the NFL is embracing data analytics, best practices for data integration and databases in the cloud, and how to prevent cloud security breaches.
- By Quint Turner
- September 30, 2016
How much to realistically expect from deep learning, how effective metadata can help analysts, and how to choose the right big data tool for your enterprise.
- By Quint Turner
- September 29, 2016
Best practices for cloud security, the basics of using anomaly detection for cybersecurity, and methods for judging the value of data.
- By Quint Turner
- September 23, 2016
Many companies aren't seeing the full benefits of their data governance program. What contributes to an ineffective governance program, and how can it be revived?
- By Wes Flores
- September 22, 2016
Today learn about the blunders many enterprises make with big data, improving your customer data with more integration, and choosing the right amount of data to store.
- By Quint Turner
- September 22, 2016
Collecting customer data has provided benefits to both consumers and businesses, but there are costs to using personal data. What are the trade-offs between personal data privacy and customer analytics?
- By Matt Lindsay, Ph.D.
- September 20, 2016
Today learn why users turn to shadow IT solutions and why trusting blindly in data analytics may perpetuate biases.
- By Quint Turner
- September 20, 2016