To keep pace with the dynamic business landscape, organizations need to respond quickly and effectively with easy access to data – cloud platforms with low-cost data storage offerings like data lakes and a plethora of powerful analytical tools are a key enabler. To maximize business value, self-service data needs and usage scenarios must also be considered.
As enterprise organizations shape strategies around data lakes, data democratization, and self-service, it is vital to consider how these data lake platforms can be designed to be agile and flexible, with appropriate governance, and meet the self-service reporting and analytical needs of an organization. Some of the common considerations include balancing process and control with the agility and flexibility that users desire, the ability to quickly ingest new data assets particularly for experimentation and analytical needs, and enabling easy and wide access to data assets.
In this recorded webcast Thorogood consultants Sarah Diehl and Laura Kolstad share thoughts on some of the key considerations in designing an agile and responsive data lake with just-enough controls to successfully deliver to self-service needs. They discuss how automation can be introduced to increase accessibility of the data lake to a broad spectrum of users, with varying degree of skills, whilst ensuring governance and responsible usage.
