Build Data Vault on Cloud-Native

• 2 min read

Introduction

Data Vault is a data management system that provides a centralized repository for data assets, including structured data, unstructured data, and metadata. It is designed to be cloud-native, meaning it can be deployed on any cloud platform, such as AWS, Azure, or Google Cloud.

In this post, we will discuss the architecture and design of a data vault that is cloud-native and can be deployed on any cloud platform.

Vault 2.0 is a new version of the data Vault, which is designed to: is focusing on the following:

  • Supporting the Real time data
  • Leveraging the Automation

Architecture

The architecture of a data vault is as follows:

Data Vault Architecture

  1. The data vault is deployed on a cloud platform, such as AWS, Azure, or Google Cloud.
  2. The data vault is accessed through a web-based interface, which allows users to interact with the data vault.
  3. The data vault stores data assets, including structured data, unstructured data, and metadata.
  4. The data vault uses a distributed file system, such as HDFS or S3, to store data assets.
  5. The data vault uses a metadata management system, such as Apache Atlas or Apache Hive, to manage metadata.
  6. The data vault uses a data