How to Safeguard Your Data with Amazon DataZone in the Cloud?

Overview

The Amazon DataZone service allows you to catalog, discover, govern, distribute, and analyze your data. You may share and access your data across accounts and supported regions using Amazon DataZone. Amazon DataZone integrates AWS services such as Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation.

Amazon DataZone Functions

Amazon You can perform the following functionalities using Amazon DataZone:

Catalog: Give data producers the ability to Catalog data across business sectors to make data more discoverable.

Discover: Allow data consumers to search for and quickly identify data assets of interest.

Govern: Allow data users to streamline access governance by separating domains (data stewards), projects (consumers), and subscription approvals (producers).

Share: Allow data producers to respond to data consumers’ requests for access to data.

Analyse: Allow data consumers to analyze the data they have access to.

Datazone Support and Integration

Amazon DataZone offers three types of AWS service integrations:

Data Source

Producer data sources can publish Amazon Datazone catalog data assets. For this purpose they use AWS Glue Data Catalog and Amazon Redshift tables and views. Objects from Amazon Simple Storage Service (S3) can also be manually published to the Amazon DataZone catalog.

Consumer tools
You may access and analyze your data assets using Amazon Athena or Amazon Redshift query editors.

Access Control

Amazon DataZone supports AWS Lake Formation-controlled AWS Glue tables and Amazon Redshift tables and views. Amazon DataZone broadcasts standard events linked to your activities to Amazon Event Bridge for all other data assets. You may utilize these standard events to interact with other AWS services or third-party solutions for bespoke integrations.

How To Access Amazon Datazone?

The Amazon DataZone user interface is divided into two parts:

DataZone Console

You may access and customize your Amazon DataZone domains using the Amazon DataZone management portal. The Amazon DataZone management console are part of the Amazon DataZone data portal development.

DataZone data portal

The Amazon DataZone data portal is a browser-based online application that allows you to self-service catalog, find, administer, exchange, and analyze data. Amazon DataZone is used primarily through the data portal. Users are authenticated via the data portal using credentials from your identity provider via AWS IAM Identity Centre (the successor to AWS SSO) or IAM credentials.

Amazon DataZone Components

DataZone has four main components:

Data Portal

This portal is a browser-based online application where diverse users may catalog, find, control, share, and analyze data in a self-service manner. The data portal authenticates users using IAM credentials or existing credentials from your identity provider using the AWS IAM Identity Centre (the successor to AWS SSO).

Projects

You may utilize projects to simplify access to AWS analytics by organizing people, data assets, and analytics tools based on business use cases. Amazon DataZone projects give project members a place to collaborate, exchange data, and share data. By default, projects are set up such that only individuals expressly added to the project may access the data and analytics tools included inside it.

Business Data Catalog

This component may be used to catalog data across your organization with business context, allowing everyone in your organization to rapidly discover and understand data.

Publish and subscribe

These automated workflows may be used to safeguard data between producers and consumers in a self-service way, as well as to guarantee that you have access to the relevant data for the right reason.

Ensuring Data Protection with Amazon DataZone

The AWS shared responsibility paradigm applies to Amazon DataZone data protection. According to this paradigm, AWS is responsible for securing the global infrastructure that powers the whole AWS Cloud. It is your responsibility to keep control of the content hosted on this infrastructure.

When providing rights, you specify who has access to which Amazon DataZone resources. You enable particular activities on those sites that you wish to allow. As a result, you should only provide permissions that are necessary to complete a task. Implementing least-privilege access is critical for lowering security risk and the consequences of mistakes or bad intent.

By default, using an AWS Key Management Service (AWS KMS), Amazon DataZone encrypts service metadata. The key is owned and managed by AWS for you. You may additionally encrypt the metadata contained in the Amazon DataZone data catalog with keys managed by AWS KMS.

For encryption in transit, Amazon DataZone employs Transport Layer Security (TLS) and client-side encryption. Because Amazon DataZone always communicates through HTTPS, your data is always secured in transit.

How to Accomplish Monitoring with Amazon DataZone

Monitoring is critical to ensuring the reliability, availability, and performance of Amazon DataZone and other AWS technologies. AWS provides the following monitoring tools to keep an eye on Amazon DataZone, report when something goes wrong, and take relevant automated actions:

Amazon CloudWatch continuously monitors your AWS resources as well as the apps you run on AWS. You may gather and track data, create customized dashboards, and set alerts to warn you or take action when a given measure hits a predefined threshold.

Amazon CloudWatch Logs allows you to monitor, store, and retrieve log files from Amazon EC2 instances, CloudTrail, and other sources. CloudWatch Logs can monitor information in log files and notify you when specified criteria are hit. You may also archive your log data in very durable storage.

Amazon EventBridge may be used to automate your AWS services and respond to system events such as application availability concerns or resource changes automatically. It receives near real-time events from AWS services. Simple rules may be written to specify which events are of interest to you and which automatic actions should be taken when an event fits a rule.

AWS CloudTrail logs API calls and related events made by or on behalf of your AWS account and sends them to an Amazon S3 bucket you choose.

By leveraging AWS’s data zones, organizations can store and process their data in geographically distributed locations, allowing them to meet compliance requirements, improve performance, and enhance data durability.

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