Data Lake Strategy Options: From Self-Service to Full-Service
Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data sources, data researchers maximize the scale and scope of data available by dumping all corporate data into one location.
On the other hand, having all that critical data in one place can be an attractive target for hackers, who continuously probe defenses looking for weaknesses, and the penalties for data breaches can be enormous. IT security teams need a system that allows for security to differentiate between different categories of data to isolate and secure it against misuse.
Data lakes provide the current solution to maximizing data availability and protection. For large enterprises, their data managers and data security teams can choose from many different data lake vendors to suit their needs.
However, while anyone can create a data lake, not