Data management is about defining processes and procedures to ensure the data flowing into your analytics is valid and meaningful. As your dataset enlarges, data quality could compromise decisions.

Key Concept: Transfer Learning. Transfer learning addresses data scarcity and resource limitations by allowing a model trained on one task (e.g., stock market prediction) to apply its learned ...

If you’re a data person, or even if you’re not, you may have heard the statistic cited by Eric Schmidt, executive chairman at Google: “There were 5 exabytes of information created between ...

A key concept of the system is the graph itself, which connects information with a subject or topic far in advance so that the time spent by the querier is substantially lessened.

The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-prem vs the cloud?