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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

5 Tableau Features Useful for Data Analytics

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Below are the top Tableau features for data analytics. Tableau 9 for Data Science engineers. CONNECTING TO LOCAL FILE  Tableau can connect to any local file or database such as Excel  Text File Access  Statistical File, or  Another Database file CONNECTING TO SERVER Tableau can connect to your data server too. It can connect to almost any type of data server. Below are some of the most popular databases that Tableau can connect: Tableau Server Google Analytics Google BigQuery Hortonworks Hadoop Hive MapR Hadoop Hive IBM DB2 IBM BigInsights IBM Netezza Microsoft SQL Server Microsoft Analysis Services Oracle Oracle Essbase MySQL PostgreSQL SAP While working on Tableau, data can have Live Connection where any change in the source data will be automatically updated in Tableau. On the other hand, data can be Extracted to the Tableau repository so that any change made here will not affect the original source data. CONNECTING TO EXCEL FILE To connect