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aws-analytics-reference-architecture-2.9.9
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aws-analytics-reference-architecture
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aws-analytics-reference-architecture-2.9.9 |
| نام | aws-analytics-reference-architecture |
| نسخه کتابخانه | 2.9.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Amazon Web Services |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://aws-samples.github.io/aws-analytics-reference-architecture/ |
| آدرس اینترنتی | https://pypi.org/project/aws-analytics-reference-architecture/ |
| مجوز | MIT-0 |
# AWS Analytics Reference Architecture
The AWS Analytics Reference Architecture is a set of analytics solutions put together as end-to-end examples.
It regroups AWS best practices for designing, implementing, and operating analytics platforms through different purpose-built patterns, handling common requirements, and solving customers' challenges.
This project is composed of:
* Reusable core components exposed in an AWS CDK (Cloud Development Kit) library currently available in [Typescript](https://www.npmjs.com/package/aws-analytics-reference-architecture) and [Python](https://pypi.org/project/aws-analytics-reference-architecture/). This library contains [AWS CDK constructs](https://constructs.dev/packages/aws-analytics-reference-architecture/?lang=python) that can be used to quickly provision analytics solutions in demos, prototypes, proof of concepts and end-to-end reference architectures.
* Reference architectures consumming the reusable components to demonstrate end-to-end examples in a business context. Currently, the [AWS native reference architecture](https://aws-samples.github.io/aws-analytics-reference-architecture/) is available.
This documentation explains how to get started with the core components of the AWS Analytics Reference Architecture.
## Getting started
* [AWS Analytics Reference Architecture](#aws-analytics-reference-architecture)
* [Getting started](#getting-started)
* [Prerequisites](#prerequisites)
* [Initialization (in Python)](#initialization-in-python)
* [Development](#development)
* [Deployment](#deployment)
* [Cleanup](#cleanup)
* [API Reference](#api-reference)
* [Contributing](#contributing)
* [License Summary](#license-summary)
### Prerequisites
1. [Create an AWS account](https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/)
2. The core components can be deployed in any AWS region
3. Install the following components with the specified version on the machine from which the deployment will be executed:
1. Python [3.8-3.9.2] or Typescript
2. AWS CDK v2: Please refer to the [Getting started](https://docs.aws.amazon.com/cdk/v2/guide/getting_started.html) guide.
4. Bootstrap AWS CDK in your region (here **eu-west-1**). It will provision resources required to deploy AWS CDK applications
```bash
export ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
export AWS_REGION=eu-west-1
cdk bootstrap aws://$ACCOUNT_ID/$AWS_REGION
```
### Initialization (in Python)
1. Initialize a new AWS CDK application in Python and use a virtual environment to install dependencies
```bash
mkdir my_demo
cd my_demo
cdk init app --language python
python3 -m venv .env
source .env/bin/activate
```
1. Add the AWS Analytics Reference Architecture library in the dependencies of your project. Update **requirements.txt**
```bash
aws-cdk-lib==2.51.0
constructs>=10.0.0,<11.0.0
aws_analytics_reference_architecture>=2.0.0
```
1. Install The Packages via **pip**
```bash
python -m pip install -r requirements.txt
```
### Development
1. Import the AWS Analytics Reference Architecture in your code in **my_demo/my_demo_stack.py**
```bash
import aws_analytics_reference_architecture as ara
```
1. Now you can use all the constructs available from the core components library to quickly provision resources in your AWS CDK stack. For example:
* The DataLakeStorage to provision a full set of pre-configured Amazon S3 Bucket for a data lake
```bash
# Create a new DataLakeStorage with Raw, Clean and Transform buckets configured with data lake best practices
storage = ara.DataLakeStorage (self,"storage")
```
* The DataLakeCatalog to provision a full set of AWS Glue databases for registring tables in your data lake
```bash
# Create a new DataLakeCatalog with Raw, Clean and Transform databases
catalog = ara.DataLakeCatalog (self,"catalog")
```
* The DataGenerator to generate live data in the data lake from a pre-configured retail dataset
```bash
# Generate the Sales Data
sales_data = ara.BatchReplayer(
scope=self,
id="sale-data",
dataset=ara.PreparedDataset.RETAIL_1_GB_STORE_SALE,
sink_object_key="sale",
sink_bucket=storage.raw_bucket,
)
```
```bash
# Generate the Customer Data
customer_data = ara.BatchReplayer(
scope=self,
id="customer-data",
dataset=ara.PreparedDataset.RETAIL_1_GB_CUSTOMER,
sink_object_key="customer",
sink_bucket=storage.raw_bucket,
)
```
* Additionally, the library provides some helpers to quickly run demos:
```bash
# Configure defaults for Athena console
athena_defaults = ara.AthenaDemoSetup(scope=self, id="demo_setup")
```
```bash
# Configure a default role for AWS Glue jobs
ara.GlueDemoRole.get_or_create(self)
```
### Deployment
Deploy the AWS CDK application
```bash
cdk deploy
```
The time to deploy the application is depending on the constructs you are using
### Cleanup
Delete the AWS CDK application
```bash
cdk destroy
```
## API Reference
More contructs, helpers and datasets are available in the AWS Analytics Reference Architecture. See the full API specification [here](https://constructs.dev/packages/aws-analytics-reference-architecture)
## Contributing
Please refer to the [contributing guidelines](../CONTRIBUTING.md) and [contributing FAQ](../CONTRIB_FAQ.md) for details.
# License Summary
The documentation is made available under the Creative Commons Attribution-ShareAlike 4.0 International License. See the LICENSE file.
The sample code within this documentation is made available under the MIT-0 license. See the LICENSE-SAMPLECODE file.
نیازمندی
| مقدار | نام |
|---|---|
| ==2.72.1 | aws-cdk-lib |
| ==2.72.1.a0 | aws-cdk.aws-glue-alpha |
| ==2.72.1.a0 | aws-cdk.aws-redshift-alpha |
| <11.0.0,>=10.1.308 | constructs |
| <2.0.0,>=1.80.0 | jsii |
| >=0.0.3 | publication |
| ~=2.13.3 | typeguard |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| ~=3.7 | Python |
نحوه نصب
نصب پکیج whl aws-analytics-reference-architecture-2.9.9:
pip install aws-analytics-reference-architecture-2.9.9.whl
نصب پکیج tar.gz aws-analytics-reference-architecture-2.9.9:
pip install aws-analytics-reference-architecture-2.9.9.tar.gz