© Saurabh Gupta, Venkata Giri 2018
Saurabh Gupta and Venkata GiriPractical Enterprise Data Lake Insightshttps://doi.org/10.1007/978-1-4842-3522-5_5

5. Data Archiving Strategies in Data Lakes

Saurabh Gupta1  and Venkata Giri1
(1)
Bangalore, Karnataka, India
 

‘Data is like garbage. You’d better know what you are going to do with it before you collect it’

—Mark Twain, an American writer and entrepreneur

The linearly growing data lake sophistication trend has empowered the rise of data analytics from descriptive to predictive, and further to prescriptive. The strategies that drive meaty business outcomes, rely heavily on data initiatives that offer quality and relevance. An enterprise data lake, being the mainstay of modern cognitive data analytics, ...

Get Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.