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Home > AWS > Building a data lake on Amazon Web Services (AWS)
 

Building a data lake on Amazon Web Services (AWS)

White Paper Published By: AWS
AWS
Published:  Oct 26, 2018
Type:  White Paper
Length:  10 pages

Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.



Tags : 
data, lake, amazon, web, services, aws