Enterprise Data Lake Formation & Architecture on AWS
What is Enterprise Data Lake
An enterprise data lake is simply a data lake for enterprise-wide information sharing and storing of data. The key purpose of “Enterprise data lake” is to incorporate analytics on it to unlock business insights from the stored data.
Why AWS Lake formation for Enterprise Data Lake
The key purpose of “Enterprise Data Lake” is to run analytics to gain business insights. As part of that process,governance of data becomes more important to secure the access of data between different roles in the enterprise. AWS Lake Formation is a service that makes it easy to set up a secure data lake very quickly (in a matter of days), providing a governance layer for data lakes on AWS S3.
Enterprise Data Lake Formation & Architecture
Enterprise data platforms need a simpler, scalable, and centralized way to define and enforce access policies on their data lakes . A policy based approach to allow their data lake consumers to use the analytics service of their choice, to best suit the operations they want to perform on the data. Although the existing method of using Amazon S3 bucket policies to manage access control is an option, when the number of combinations of access levels and users increase, it may not be an option for enterprises.
AWS Lake Formation allows enterprises to simplify and centralize access management. It allows organizations to manage access control for Amazon S3-based data lakes using familiar concepts of databases, tables, and columns (with more advanced options like row and cell-level security).
Benefits of Lake formation for Enterprise Data Lakes
- One schema – shareable with no dependency on architecture
- Share Lake Formation databases and tables to any Amazon accounts
- No Amazon S3 policy edits required
- Receivers of the data can use analytic service provider like Ahana to run analytics.
- There is no dependency between roles on how the data will be further shared.
- Centralized logging.
AWS Enterprise Lake Formation: To Summarize
AWS Lake Formation has been integrated with AWS partners like Ahana cloud, a managed service for SQL on data lakes. These services honor the Lake Formation permissions model out of the box, which makes it easy for customers to simplify, standardize, and scale data security management for data lakes.
Related Articles
The Role of Blueprints in Lake Formation
A Lake Formation Blueprint allows you to easily stamp out and create workflows. Learn more about what is in this article.
What is a Data Lakehouse Architecture?
The term Data Lakehouse has become very popular over the last year or so. Learn more about what it is and how it’s used.