AWS-Big-Data-Projects / Airline_Data_Analysis
Process to gather streaming data from Airline API using NiFi & batch data using AWS redshift using Sqoop and build a data pipeline to analyse the data using Apache Hive and Druid and compare the performances ,to discuss the hive optimization techniques and visualise the data using AWS Quicksight
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Airline_Data_Analysis
- The core objective of this project is to analyse the factors for demand for taxis, to find the most pickups, drop-offs of public based on…☆11Updated 2 years ago
- Lambda Bundler helps you to create deployment artifacts including dependencies for your AWS Lambda functions written in python.☆11Updated 2 years ago
- Big-Data-Beverage-Recommender-System☆12Updated 2 years ago
- The Introduction to AWS is a Series containing different articles that provide a basic introduction to different aws topics/categories. E…☆12Updated 2 years ago
- Introduction to AWS Services Series' Articles☆12Updated 2 years ago
- Todoapp is a simple Web Application designed to use AWS for CI/CD Pipeline Functionality using AWS CodePipeline, it also does UI testing …☆12Updated 3 years ago
- Analyse a Housing Dataset of Usa for predicting housing prices for regions in the USA☆12Updated 4 years ago
- This workshop is meant to give customers a hands-on experience with mentioned AWS services. Serverless Data Lake workshop helps customer…☆12Updated 4 years ago
- worked with an Amazon Redshift cluster to analyze USA Domestic flight data. Amazon Redshift is a fast, fully managed, petabyte-scale dat…☆12Updated 2 years ago
- A demo application that showcases the CDK and some AWS services.☆12Updated 2 years ago
- This is a sample template for AWS Serverless Application for building and deploying the application along with sqs message generator☆11Updated 2 years ago
- Serverless application to receive weather notification via email for a specific location.☆12Updated last year
- Comparing Different AWS Services Series' Articles☆12Updated 2 years ago
- Architecture Options for Building an Analytics Application on AWS Series' Articles☆12Updated 2 years ago
- Big Data Analytics Options on AWS Series' Articles☆12Updated 2 years ago
- AWS API Gateway is a great tool to use with Lambda. However, sometimes API Gateway can be quite expensive. If you are using API Gateway j…☆12Updated 2 years ago
- Build a Visualization and Monitoring Dashboard for IoT Data with Amazon Kinesis Analytics and Amazon QuickSight☆12Updated 4 years ago
- In this project, a framework is developed leveraging the capabilities of artificial neural networks to “caption an image based on its sig…☆11Updated 2 years ago
- Amazon ECS Workshop☆11Updated 4 years ago
- Collect, process, and analyze log data using Amazon Kinesis and Elasticsearch Service☆11Updated 4 years ago
- Start with the eksworkshop setup☆11Updated 4 years ago
- Simple terraform project example that provisions a resource group and a storage account static website on Azure☆13Updated 4 years ago
- Containirize dotnet core web Api using Docker, push to Azure Container Registry and deploy to Kubernetes cluster in AKS☆14Updated 4 years ago
- Node.js application using Skaffold and GitHub Actions for deployments to Amazon EKS cluster☆12Updated 2 years ago
- Dating App ( Angular / .Net WebAPI Core / Entity Framework core)☆15Updated 4 years ago
- [Data Science] An end to end project to explore & visualize crime data and predict category of crime in San Francisco.☆12Updated 4 years ago
- Analyse advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.predict whether or not the…☆11Updated 4 years ago
- Here, we will see how to use Octopus Deploy in conjunction with Azure DevOps to deploy in the cloud in a repeatable and reliable way.☆10Updated 4 years ago
- The purpose of this project is to analyze, specify, design, implement, document, and demonstrate a database management information system…☆10Updated 2 years ago
- Investigate housing data set and build an ML Pipeline that automates feature engineering, feature selection, and training and testing mod…☆10Updated 2 years ago