Added 2 blog tutorials under AWS + OpenShift blog too

docs/create/aws/analytics-using-aws/index-analytics-using-aws.mdx

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+---
+id: index-analytics-using-aws
+title: How to Build and Deploy Your Own Analytics Dashboard on AWS using NodeJS and Redis 
+sidebar_label: Building Analytics Dashboard on using NodeJS and then deploy it on AWS
+slug: /create/aws/analytics-using-aws
+authors: [ajeet]
+---
+
+An interactive analytics dashboard serves several purposes. They allow you to share data and provide you with all those vital information to make game-changing decisions at a faster pace. Building a real-time dynamic dashboard using a traditional relational database might require a complex set of queries. By using a NoSQL database like Redis, you can build a powerful interactive and dynamic dashboard with a small number of Redis commands. 
+
+Let’s take a look at how this was achieved. 
+
+
+- What will you build?
+- What will you need?
+- Getting started
+- How does it work?
+- How data is stored
+- Navigating the application
+
+
+### 1. What will you build?
+
+You’ll build an analytics dashboard app that uses Redis Bitmap written in NodeJS (JavaScript) and then deploy it to AWS
+
+Ready to get started? Ok, let’s dive straight in.
+
+
+### 2. What will you need?
+
+- [NodeJS](https://developer.redis.com/develop/node): used as an open-source, cross-platform, backend JavaScript runtime environment that executes Javascript code outside a web browser.
+- [Redis Enterprise Cloud](https://developer.redis.com/create/rediscloud): used as a real-time database, cache, and message broker.i
+- [NPM](https://www.npmjs.com/): used as a package manager. It allows you to build node apps.
+
+### 3. Getting Started
+
+### Prepare the environment
+
+- Install Node - v12.19.0
+- Install NPM - v6.14.8
+
+
+### Step 1. Sign up for a Free Redis Enterprise Cloud Account
+
+[Follow this tutorial](https://developer.redis.com/create/aws/redis-on-aws) to sign up for a free Redis Enterprise Cloud account.
+
+![image](analytics3.png)
+
+Choose AWS as a Cloud vendor while creating your new subscription. At the end of the database creation process, you will get a Redis Enterprise CLoud database endpoint and password. You can save it for later use.
+
+![image](analytics4.png)
+
+
+
+
+### Step 2. Clone the repository
+
+  ```bash
+   git clone https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs
+  ```
+
+
+### Step 3. Setting up backend
+
+
+First we will be settin up environmental variables
+
+Go to /server folder (cd ./server) and then execute the below command:
+
+  ```bash
+   cp .env.example .env
+  ```
+
+Open .env file and add Redis Enterprise Cloud Database Endpoint URL, port and password as shown below:
+
+```
+
+PORT=3000
+
+# Host and a port. Can be with `redis://` or without.
+# Host and a port encoded in redis uri take precedence over other environment variable.
+# preferable
+REDIS_ENDPOINT_URI=redis://redis-XXXX.c212.ap-south-1-1.ec2.cloud.redislabs.com:15564
+
+# Or you can set it here (ie. for docker development)
+REDIS_HOST=redis-XXXX.c212.ap-south-1-1.ec2.cloud.redislabs.com
+REDIS_PORT=XXXX
+
+# You can set password here
+REDIS_PASSWORD=reXXX
+
+COMPOSE_PROJECT_NAME=redis-analytics-bitmaps
+```
+
+
+### Step 4. Install dependencies
+
+  ```bash
+   npm install
+  ```
+
+
+### Step 5. Run the backend
+
+  ```bash
+   npm run dev
+  ```
+
+### Step 6. Setting up the frontend
+
+Go to /client folder (cd ./client) and then:
+
+  ```bash
+   cp .env.example .env
+  ```
+
+Add the exact URL path and port number of your choice for VUE_APP_API_URL parameter as shown below:
+
+```
+VUE_APP_API_URL=http://localhost:3000
+```
+
+
+### Step 7.  Install dependencies
+
+  ```bash
+   npm install
+  ```
+
+### Step 8. Run the frontend
+
+  ```bash
+   npm run serve
+  ```
+
+![analytics](analytics_traffic.png)
+
+### How does it work?
+
+#### How the data is stored:
+
+The event data is stored in various keys and various data types.
+
+For each of time spans:
+
+- year: like 2021
+- month: like 2021-03 (means March of 2021)
+- day: like 2021-03-03 (means 3rd March of 2021)
+- weekOfMonth: like 2021-03/4 (means 4th week of March 2021)
+- anytime
+
+and for each of scopes:
+
+- source
+- action
+- source + action
+- action + page
+- userId + action
+- global
+
+and for each of data types (types):
+
+- count (Integer stored as String)
+- bitmap
+- set
+
+Is generated key like: 
+
+
+  ```bash
+   rab:{type}[:custom:{customName}][:user:{userId}][:source:{source}][:action:{action}][:page:{page}]:timeSpan:{timeSpan}
+  ```
+
+where values in [] are optional.
+
+- For each generated key like rab:count:*, data is stored like: INCR {key}
+Example:
+
+  ```bash
+   INCR rab:count:action:addToCart:timeSpan:2015-12/3
+  ```
+- For each generated key like: rab:set:*, data is stored like: SADD {key} {userId}
+Example:
+
+  ```bash
+   SADD rab:set:action:addToCart:timeSpan:2015-12/3 8
+  ```
+- For each generated key like rab:bitmap:*, data is stored like: SETBIT {key} {userId} 1.
+Example:
+
+  ```bash
+   SETBIT rab:bitmap:action:addToCart:timeSpan:2015-12/3 8 1
+  ```
+### Cohort data
+
+- We store users who register and then bought some products (action order matters).
+- For each buy action in December we check if user performed register action before (register counter must be greater than zero).
+- If so, we set user bit to 1 like: SETBIT rab:bitmap:custom:cohort-buy:timeSpan:{timeSpan} {userId} 1
+
+- E.g User Id 2 bought 2 products on 2015-12-17. It won't be stored.
+- E.g User Id 10 bought 1 product on 2015-12-17 and registered on 2015-12-16. 
+  It will be stored like: SETBIT rab:bitmap:custom:cohort-buy:timeSpan:2015-12 10 1.
+- We assume that user cannot buy without register.
+
+#### Retention data
+
+- Retention means users who bought on two different dates
+- For each buy action we check if user bought more products anytime than bought on particular day (current purchase not included).
+- If so, we add user id to set like: SADD rab:set:custom:retention-buy:timeSpan:{timeSpan} {userId}
+- E.g User Id 5 bought 3 products on 2015-12-15. His retention won't be stored (products bought on particular day: 2, products bought anytime: 0).
+- E.g User Id 3 bought 1 product on 2015-12-15 and before - 1 product on 2015-12-13. His retention will be stored (products bought on particular day: 0, products bought anytime: 1) like: SADD rab:set:custom:retention-buy:timeSpan:2015-12 3.
+
+#### How the data is accessed:
+
+- Total Traffic:
+
+December: ```BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12```
+X week of December: ```BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12/{X}```
+Example:
+
+  ```bash
+   BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12/3
+  ```
+
+- Traffic per Page ({page} is one of: homepage, product1, product2, product3):
+
+```
+December: BITCOUNT rab:bitmap:action:visit:page:{page}:timeSpan:2015-12
+```
+
+Example:
+
+  ```bash
+   BITCOUNT rab:bitmap:action:visit:page:homepage:timeSpan:2015-12
+  ```
+
+- X week of December: 
+
+```
+BITCOUNT rab:bitmap:action:visit:page:{page}:timeSpan:2015-12/{X}
+```
+
+Example:
+
+  ```bash
+   BITCOUNT rab:bitmap:action:visit:page:product1:timeSpan:2015-12/2
+  ```
+
+- Traffic per Source ({source} is one of: google, Facebook, email, direct, referral, none):
+
+December: 
+
+```
+BITCOUNT rab:bitmap:source:{source}:timeSpan:2015-12
+```
+
+Example:
+
+  ```bash
+   BITCOUNT rab:bitmap:source:referral:timeSpan:2015-12
+  ```
+
+- X week of December: ```BITCOUNT rab:bitmap:source:{source}:timeSpan:2015-12/{X}```
+
+Example:
+
+  ```bash
+   BITCOUNT rab:bitmap:source:google:timeSpan:2015-12/1
+  ```
+
+- Trend traffic ({page} is one of: homepage, product1, product2, product3):
+
+- December: from ```BITCOUNT rab:bitmap:action:visit:{page}:timeSpan:2015-12-01``` to ```BITCOUNT rab:bitmap:action:visit:{page}:timeSpan:2015-12-31```
+- 1 Week of December: Similar as above, but from 2015-12-01 to 2015-12-07
+- 2 Week of December: Similar as above, but from 2015-12-08 to 2015-12-14
+- 3 Week of December: Similar as above, but from 2015-12-15 to 2015-12-21
+- 4 Week of December: Similar as above, but from 2015-12-22 to 2015-12-28
+- 5 Week of December: Similar as above, but from 2015-12-29 to 2015-12-31
+- Example:
+
+   ```bash
+    BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-29 => BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-30 => BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-31
+   ```
+
+- Total products bought:
+
+- December: ```GET rab:count:action:buy:timeSpan:2015-12```
+- X week of December: ```GET rab:count:action:buy:timeSpan:2015-12/{X}```
+Example:
+
+  ```bash
+   GET rab:count:action:buy:timeSpan:2015-12/1
+  ```
+
+- Total products added to cart:
+
+December: ```GET rab:count:action:addToCart:timeSpan:2015-12```
+X week of December: ```GET rab:count:action:addToCart:timeSpan:2015-12/{X}```
+Example:
+
+  ```bash
+   GET rab:count:action:addToCart:timeSpan:2015-12/1
+  ```
+
+- Shares of products bought ({productPage} is on of product1, product2, product3):
+
+December: ```GET rab:count:action:buy:page:{productPage}:timeSpan:2015-12```
+Example:
+
+  ```bash
+   GET rab:count:action:buy:page:product3:timeSpan:2015-12
+  ```
+
+- X week of December: ```GET rab:count:action:buy:page:{productPage}:timeSpan:2015-12/{X}```
+Example:
+
+  ```bash
+   GET rab:count:action:buy:page:product1:timeSpan:2015-12/2
+  ```
+
+#### Customer and Cohort Analysis
+
+- People who registered: BITCOUNT rab:bitmap:action:register:timeSpan:2015-12
+- People who register then bought (order matters): BITCOUNT rab:bitmap:custom:cohort-buy:timeSpan:2015-12
+- Dropoff: (People who register then bought / People who register) * 100 [%]
+- Customers who bought only specified product ({productPage} is one of: product1, product2, product3): 
+
+```
+SMEMBERS rab:set:action:buy:page:{productPage}:timeSpan:2015-12
+```
+
+Example:
+
+  ```bash
+   SMEMBERS rab:set:action:buy:page:product2:timeSpan:2015-12
+  ```
+
+- Customers who bought Product1 and Product2: 
+
+```
+SINTER rab:set:action:buy:page:product1:timeSpan:anytime rab:set:action:buy:page:product2:timeSpan:anytime
+```
+
+- Customer Retention (customers who bought on the different dates): SMEMBERS rab:set:custom:retention-buy:timeSpan:anytime
+
+
+### References
+
+- [Project Source Code](https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs)
+- [Use cases of Bitmaps](https://redis.io/topics/data-types-intro)
+- [How to Build a Slack Bot to Retrieve Lost Files Using AWS S3 and RediSearch](/create/aws/slackbot)
+- [How to Deploy and Manage Redis Database on AWS Using Terraform](/create/aws/terraform)