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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces

Course Topics You Need to Know Before You Take Course on Excel

Hey, you want to be master in Excel. There are 4 parts in this course. These contents cover all the functionalities you need to work with Excel. Excel is one of the tools to be used in data analytics Why I have given contents means these you must ask your tutor if present in the course or not. This list useful to start a career in analytics. List of Excel Course Topics Part-1 - Importing Data from other sources Import or Export data from multiple data sources Part-2 - Converting data Excel ready Formatting the data understand by EXCEL. Part-3 - Data Mining Formulas you need for Data cleaning. Part-4- Excel Data Analysis Tools Data analysis using statistical methods, Charts and Pivot Tables