Benefits of Amazon DynamoDB

Amazon DynamoDB maintains high performance and cost efficiency for every kind of Web applications ranging from small or large.Here are diverse key benefits of Amazon DynamoDB.

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Mireille  Von

Mireille Von

1625766840

Batch Processing Example using Amazon Data Pipeline | S3 to DynamoDB using Amazon EMR

This video covers a hands-on example in setting up Batch Processing example using Amazon Data Pipeline which leverages S3 and DynamoDB along with Amazon EMR.
The following is the agenda for the video:

⏱ Chapter Timestamps

0:00 - Introduction
00:28 - Architecture Flow
2:31 - Pre-requisite: Amazon S3 Buckets Creation
3:44 - Pre-requisite: Amazon DynamoDB Table Creation
5:15 - Pre-requisite: Amazon S3 file format Creation
8:20 - Pre-requisite: Amazon Data Pipeline Creation
12:40 - Data Format Configuration in Data Pipeline
14:14 - Activate Data Pipeline
17:52 - Data Loaded into DynamoDB
19:03 - Serverless Data Pipeline Trigger using EventBridge and Lambda
20:06 - Summary

📌 Links

🔗 Amazon Data Pipeline: https://aws.amazon.com/datapipeline/

📌 Related Videos

🔗AWS Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYdyi0JR7c1wsuv-Plrwrzqj
🔗 System Design Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYeX_wV9ysDuuAxvxfSBfVSI
🔗 Containers Primer: https://www.youtube.com/watch?v=yo2g_CZZWL4&list=PLTyWtrsGknYf_Oee7YOvom5Ev0F3-E2zB
🔗 Kubernetes Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYfanKF33E12LdJvl5q5PZGp

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🎬Video Editing: FCP


🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#AmazonDataPipeline #AmazonEMR #TechPrimers

#amazon data pipeline #batch processing example #amazon #dynamodb #amazon emr

Marcus Anthony

1612355729

Amazon Pay Clone, Amazon Pay Clone Script, Recharge & Wallet App Solution

Mobile wallet applications have become the new trend in today’s world. Apps like Amazon Pay, Paytm, PayPal are some of the leading apps that are owned and used by millions. Be it paying bills, recharging, or money transactions, everything has turned easier because of these apps. There were days when people used to travel for hours to do these tasks have been totally transformed. Moreover, consumers can use these e-wallet apps while paying in a store, either for shopping or while eating out. Thus, as far as mobile wallets are concerned, they are a convenient way for handling all the tasks involving finance.

As an aspiring entrepreneur, if you wish to succeed in your business, without second thoughts, go for Amazon Pay clone app development. Let’s narrow down your thinking processes for a quicker stride forward by analyzing the types of apps first.

Types of e-wallet apps you could develop:

Retail application: An app like Amazon is considered the retail app because it has a mobile wallet in it. It has all the basic functionalities, which helps users to redeem coupons and reward points. All the payment modes are accessible through the app, including net banking.

Dedicated app: The app allows P2P money transactions by storing a variety of cards. You could also make international money transfers using this app. Example: PayPal, Apple Pay, and Amazon Pay.

PoS payments: The PoS payment wallet apps are found at the stores. It is exclusively used by the users to make contactless payments without having to stand in a long queue.

Wrapping up,
Choose the best type of e-wallet app you want to develop and join forces with our Appdupe. Grab the cutting-edge Amazon Pay Clone script and launch an app in a week!

##amazon pay clone ##amazon pay clone script ##amazon pay clone app ##amazon pay clone app development ##amazon pay app clone ##amazon pay app clone development

dia adalyn

1613130444

Empower your e-commerce business by building an app like Amazon

We at Appdupe incorporate the app with the latest techniques to meet the customer market trend. The app is enriched with the highly-advanced and innovative features that help you deliver the best Amazon clone script that helps turn your e-commerce business ideas into reality. We offer a top-notch Amazon clone app development and a ready-made clone application perfect for any business sector. Every feature in it is set to expand your business, which can also be altered with your brand name. By developing an app like Amazon, you can easily reach your customer anytime anywhere that eventually helps increase the business revenue.

Read More, https://www.appdupe.com/amazon-clone

#amazon clone #amazon clone app #amazon clone app development #amazon clone script #amazon app clone #amazon like app development

nancy martin

1626419753

Activate Amazon Prime || Amazon Activate MyTv || Amazon.com mytv

Amazon Activate MyTv:- Amazon Prime provides a variety of benefits for its customers. Amazon Prime videos is one of many outstanding features. You can browse through thousands of movies and find the best shows with the help of this feature. However, you may not feel comfortable watching a movie on your phone. Amazon was aware of this discomfort. Amazon designed its prime video service so that smart TVs can be used seamlessly. The sad truth is, many prime subscribers don’t know this. They might ask: How can I sign in to Amazon Prime on my TV?" You are likely reading this post because you don’t know how to activate Amazon Prime on your Android and Apple TV. This post is for those who are in this situation. Let me assure you, Amazon.com/mytv is straightforward. But, first, let me answer some important questions to help you get the full picture.

Read More:- https://www.customerservicephonedirectory.com/amazon/amazon-my-tv/

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A GUI for Local DynamoDB- Dynamodb-Admin

Quick Start Guide

1. Install the package globally from npm.

$ npm install -g dynamodb-admin

2. Run DynamoDB locally inside a Docker container

Make sure you have Docker installed on your system. Instructions are here.

Now pull and run the Docker dynamodb-local image to spin up your very own DynamoDB instance running on port 8000.

$ docker pull amazon/dynamodb-local
$ docker run -p 8000:8000 amazon/dynamodb-local

3. Start dynamodb-admin (with defaults)

MacOS/Linux

$ dynamodb-admin

Windows

> export DYNAMO_ENDPOINT=http://localhost:8000
> dynamodb-admin

After these steps you will have:

The next step is to create a table and start reading/writing to it!

Advanced Setup

You may need to override regions, endpoints and/or credentials to peek inside local DynamoDB instances you have spun up to replicate a production environment.

If so, just override the defaults when starting the service. You can override some, or all of these, as required.

DYNAMO_ENDPOINT=http://localhost:<PORT> AWS_REGION=<AWS-REGION> AWS_ACCESS_KEY_ID=<YOUR-ACCESS-KEY> AWS_SECRET_ACCESS_KEY=<YOUR-SECRET> dynamodb-admin

Setting up your Tables

The easy way — for simple use cases

Here we are going to create your table using the dynamodb-admin GUI. This is most likely going to be appropriate for your use-case.

Clicking on ‘Create table’ takes us to a screen where we can define how our table should look. Remember that DynamoDB is effectively a key-value store, meaning to get started we only need to define a table name and a hash attribute (the primary key). If you expect that you’ll need to perform lookups based on another attribute of your data, you may want to add some Secondary Indices.

In this example, I’ve named the table ‘Cats’ and given it a primary index ‘name’ and a secondary index ‘owner’. Both indices are of type String and we must give the secondary index a name — which can be different from the name of the attribute.

‘name’ is not a good choice of primary index in practice, as it means only one cat with a given name can be present in the table. Instead, it would be better to give each cat a unique id and use that as the primary index.

Finally, add your first item to the table by clicking the ‘Create item’ link on the top right. This will take you to a new screen where you can enter the json which defines the record. The only requirement for each entry is that the primary key is included.

The Hard(er) Way — for more complex table structures

Using the GUI to set up tables is fine for simple tables, or when you’re just exploring how your data storage might be structured. However, if you are trying to mimic a complex table, or you want to stand-up tables quickly for testing you may want to use the command line to create the table(s) for you.

1. Install the AWS CLI

Instructions for installing (for Mac) via the command line are here. This is a very powerful utility tool. I’d recommend installing it if you work with AWS even if you don’t opt to use it here.

2. Create a table schema

If you already have a table schema you can skip this and move along to Step 3.

$ aws dynamodb create-table --generate-cli-skeleton > dynamo_table_def.json

This will create a basic table schema and pipe it into a file named dynamo_table_def.json.

You can now open the json file and edit it to fit your desired table schema. This is great because you can now use this same schema file when you need the table, rather than manually setting it up each time via the GUI.

If you’re just curious what the schema should look like, or you need some inspiration for your own — here is the schema for the Cats table.

{
  "AttributeDefinitions": [
    {
      "AttributeName": "name",
      "AttributeType": "S"
    },
    {
      "AttributeName": "owner",
      "AttributeType": "S"
    }
  ],
  "TableName": "Cats",
  "KeySchema": [
    {
      "AttributeName": "name",
      "KeyType": "HASH"
    }
  ],
  "ProvisionedThroughput": {
    "ReadCapacityUnits": 3,
    "WriteCapacityUnits": 3
  },
  "GlobalSecondaryIndexes": [
    {
      "IndexName": "idx_owner",
      "KeySchema": [
        {
          "AttributeName": "owner",
          "KeyType": "HASH"
        }
      ],
      "Projection": {
        "ProjectionType": "ALL"
      },
      "ProvisionedThroughput": {
        "ReadCapacityUnits": 3,
        "WriteCapacityUnits": 3
      }
    }
  ]
}

3. Use the schema to create the table

Finally, create the table locally

$ aws dynamodb create-table --cli-input-json file://dynamo_table_def.json --endpoint-url http://localhost:8000

Remember the --endpoint-url parameter, otherwise a real table will be created in whatever region your AWS CLI defaults to.

After running this command, go back to dynamodb-admin in your browser. You’ll see your table has been created. Now it’s time to use it!

Use Cases

I’ve picked 3 examples to show how dynamodb-admin can help you develop and test your applications.

Running locally alongside an application

This example is super simple. Let’s say you’re developing a Python application which reads from a DynamoDB table of movies. You may want run a local DynamoDB instance for development and tests, to avoid standing up unnecessary infrastructure. Dynamodb-local is a godsend for this. However it can be fiddly to put data in the table, from the command line.

You could write code to put the correct items in the table. Indeed for tests this might be ideal, as you absolutely should test the logic you’re using to read and write from the table.

However to quickly test some code path or to build out a feature, when the remote infrastructure or data is not present, it’s typically much easier to put the data into the DynamoDB table manually.

You can set up your table and add some movies, using the GUI, as described above. Then read from the table like so:

from pprint import pprint
import boto3
from botocore.exceptions import ClientError


def get_movie(title, year, dynamodb=None):
    if not dynamodb:
        dynamodb = boto3.resource('dynamodb', endpoint_url="http://localhost:8000")

    table = dynamodb.Table('Movies')

    try:
        response = table.get_item(Key={'year': year, 'title': title})
    except ClientError as e:
        print(e.response['Error']['Message'])
    else:
        return response['Item']


if __name__ == '__main__':
    movie = get_movie("The Big New Movie", 2015,)
    if movie:
        print("Get movie succeeded:")
        pprint(movie, sort_dicts=False)

Creating the table and putting items in it, using dynamodb-admin, lets you focus on the business logic. When you’re happy with how your logic looks, you can focus on writing to the table.

Using dynamodb-admin as a library

Since dynamodb-admin is a Node library, we can use it inside our Node projects. This is again great for local development, as each time you run the service you have what is effectively the AWS console ready to view and manipulate the data.

const AWS = require('aws-sdk');
const {createServer} = require('dynamodb-admin');
 
const dynamodb = new AWS.DynamoDB();
const dynClient = new AWS.DynamoDB.DocumentClient({service: dynamodb});
 
const app = createServer(dynamodb, dynClient);
 
const port = 8001;
const server = app.listen(port);
server.on('listening', () => {
  const address = server.address();
  console.log(`  listening on http://0.0.0.0:${address.port}`);
});

Using dynamodb-admin with AWS Amplify

AWS Amplify is a development framework that deals with a lot of the common problems when building a mobile or web application, setting up the infrastructure required for you. Each part of the framework deserves a blog post of its own, but here we are going to be looking at mocking the DynamoDB tables Amplify creates based on your GraphQL API definition.

If you’d like to find out how to use Amplify to create a GraphQL API the documentation is here

Amplify let’s you mock services used by your app with the Amplify CLI tool by running

$ amplify mock <service>

If you have used Amplify to create a GraphQL API to serve as the backend for your project you can run

$ amplify mock api

This will do two things:

  1. Starts a mock Appsync API endpoint on port 20002
  2. Creates a DynamoDB instance on port 62224

We can now use dynamodb-admin to take a peek inside the tables Amplify has created, based on our API’s requirements by running

$ AWS_REGION=us-fake-1 AWS_ACCESS_KEY_ID=fake AWS_SECRET_ACCESS_KEY=fake DYNAMO_ENDPOINT=http://localhost:62224  dynamodb-admin

I’ve personally found this really useful to test locally, before committing to pushing my API changes.

Originally published by https://medium.com/swlh 

#dynamodb #aws #code #dynamodb-admin #dynamodb-local