aws-quicksight

There are 2 repositories under aws-quicksight topic.

• aws-solutions / clickstream-analytics-on-aws

  Clickstream Analytics on AWS source code

  awsaws-amplifyaws-cdkaws-emr-serverlessaws-kinesis-streamaws-mskaws-quicksightaws-redshiftclickstreamdata-analysisaws-clickstream-solutionaws-solutionsweb-analysisweb-analytics
  Language:TypeScript 84

• aws-samples / bring-your-own-data-labs

  Bring your own data Labs: Build a serverless data pipeline based on your own data

  analyticsawslabshands-on-labaws-glueaws-s3aws-quicksight
  Language:HTML 44

• nnthanh101 / Sentiment-Analysis

  Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.

  data-analysisdata-visualizationaws-comprehendaws-kinesisaws-athenaaws-quicksightcdksentiment-analysisvoice-of-the-customer
  Language:JavaScript 25

• DanieleBocchino / AWS-Cloud-Quest

  This repository includes some AWS Cloud Quest. it not include the cloud practitioner labs

  awsaws-auroraaws-autoscalingaws-cdkaws-cloud-questaws-cloudformationaws-cloudfrontaws-cloudwatchaws-dynamodbaws-ec2aws-ecsaws-iamaws-kmsaws-lambdaaws-quicksightaws-s3aws-sqscloudcloud-computing
  Language:Python 21

• mincloud1501 / DevOps

  DevOps에 대한 개념 이해와 AWS 개발자 도구를 활용한 실습 및 연구

  codecommitcodebuildcodedeploycodepipelinecodestardevopsdevops-awscloud9awsaws-athenaaws-beanstalkaws-cloudtrailaws-glueaws-quicksightaws-codebuildaws-codestaraws-lambdaamazon-ec2devops-modeldevops-tools
  Language:Java 14

• AditModi / AWS-Business-Analysis-and-Prediction

  Build machine learning-powered business intelligence analyses using Amazon QuickSight

  aws-quicksightaws-s3aws-sagemakermachine-learning
  12

• AWS-Big-Data-Projects / front-line-concussion-monitoring-system-using-AWS-IoT-and-serverless-data-lakes

  A simple, practical, and affordable system for measuring head trauma within the sports environment, subject to the absence of trained medical personnel made using Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda

  aws-kinesis-streamaws-kinesis-firehoseaws-kinesis-analyticsaws-lambdaaws-s3aws-glueaws-athenaaws-greengrassaws-iotaws-quicksightaws-dynamodb
  Language:Shell 12

• AWS-Big-Data-Projects / IoT-Data-with-Amazon-Kinesis

  Build a Visualization and Monitoring Dashboard for IoT Data with Amazon Kinesis Analytics and Amazon QuickSight

  internet-of-thingsamazon-web-servicesaws-kinesis-analyticsaws-quicksightaws-s3sqlaws-iot
  Language:Python 12

• abduljaleel / workshop-appflow-athena-quicksight

  AWS Programming and Tools meetup workshop

  awsaws-appflowaws-athenaaws-quicksightaws-s3
  10

• AWS-Big-Data-Projects / HeartRate-Monitoring-using-AWS-IOT-and-AWS-KINESIS

  you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set up a table in Athena and use QuickSight to analyze the IoT data.

  aws-iotaws-kinesisamazon-athenaaws-quicksight
  Language:Python 10

• LoveNui / College-Data-ETL-AWS-Mage-Pipeline

  awsaws-ec2aws-quicksightaws-rdsaws-s3etlpythontableau
  Language:Jupyter Notebook 9

• Ren294 / Covid-Data-Process

  This project integrates real-time data processing and analytics using Apache NiFi, Kafka, Spark, Hive, and AWS services for comprehensive COVID-19 data insights.

  airflowawsaws-ec2aws-quicksightbig-datacovid19-datadockerdocker-composehadoop-hdfshdfshivekafkanifiredpandasparkspark-sqlspark-streamingbig-data-analyticspipelinesparksql
  Language:Shell 7

• shogo452 / aws-quicksight-tool

  aws-quicksight-tool assists in the use of the AWS QuickSight CLI.

  awsaws-quicksightquicksight
  Language:Ruby 7

• DivineSamOfficial / SmartCityProject

  Smart City Realtime Data Engineering Project

  awsaws-athenaaws-ec2aws-quicksightaws-redshiftaws-s3kafkapysparkpythonspark-streamingaws-glueaws-glue-crawleraws-glue-data-catalog
  Language:Python 5

• JamesJJ / dmarc-report-ses-tsv

  Convert DMARC reports to TSV (or CSV) format for easier analysis and visualisation

  aws-sesaws-athenaaws-quicksightdmarcdmarc-parser
  Language:Go 4

• rochitasundar / TwitterSentimentAnalysis-BigDataProject

  Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

  accuracy-metricsaws-athenaaws-ec2aws-kinesis-firehoseaws-quicksightaws-s3count-vectorizerdatabricks-notebookspysparkpython3roc-auc-scoretf-idf-vectorizertwitter-apitwitter-sentiment-analysismulticlass-evaluator
  Language:Jupyter Notebook 4

• goyal07nidhi / Data-Pipeline

  A data pipeline to ingest, process, store storm events datasets so we can access them through different means.

  aws-s3aws-glueaws-athenaaws-quicksightgcp-storagegcp-dataflowgcp-bigquerydatastudioapache-beamsnowflakedbsqlalchemy-pythonapache-supersetpython
  Language:Jupyter Notebook 3

• shiv-rna / Youtube-Data-Engineering-Pipeline

  This project repo 📺 offers a robust solution meticulously crafted to efficiently manage, process, and analyze YouTube video data leveraging the power of AWS services. Whether you're diving into structured statistics or exploring the nuances of trending key metrics, this pipeline is engineered to handle it all with finesse.

  awsaws-athenaaws-cliaws-glueaws-glue-data-catalogaws-iamaws-lambdaaws-quicksightaws-s3data-engineeringdata-engineering-pipelineyoutube
  Language:Python 3

• dishadas168 / demand-forecasting-ebay

  A demand forecasting pipeline deployed on Azure and AWS

  awsaws-eventbridgeaws-glueaws-lambdaaws-quicksightaws-rdsaws-s3aws-step-functionsazureazure-data-factoryazure-databricksazure-functionsazure-mlazure-pipelinesazure-sql-databasedemand-forecastingebay-searchprice-prediction
  Language:Python 2

• cevoaustralia / data-lake-demo

  Data lake demo using change data capture (CDC) on AWS

  awskafkakafka-connectoraws-mskaws-emraws-athenaaws-quicksightdata-lakehudidebeziumlensesaws-aurora
  Language:PLpgSQL 1

• evanmathew / Reddit_ETL_DE

  This project demonstrates a complete data pipeline for extracting, transforming, and loading (ETL) Reddit data into an Amazon Redshift data warehouse. The pipeline uses various AWS services and tools including Apache Airflow, PostgreSQL, AWS S3, AWS Glue, AWS Athena, and Amazon Redshift. The project is orchestrated using Docker and Apache Airflow

  airflowaws-catalog-api-handleraws-glueaws-quicksightaws-redshiftaws-s3data-engineeringdockeretlpostgresql-databasepythonreddit-api
  Language:Python 1

• markoshlima / positional-file-process

  This project is based for legacy applications that works with positional files to process data. The objetive is read these positional files when they arrives in AWS S3, and then send to a dataware-house like AWS Redshift, and finally read the results with a Business Intelligence tool as AWS QuickSight.

  aws-lambdaaws-sqsaws-snsaws-athenaaws-quicksightaws-redshiftpythonanalyticsaws-s3aws-gluecloudformation
  1
• insightflow-retail-economic-pipeline

  pizofreude / insightflow-retail-economic-pipeline

  A data engineering portfolio project using AWS cloud services to analyze correlations between Malaysian retail performance and fuel prices. Features Terraform IaC, ETL/ELT with AWS S3, Glue, SQL analytics via Athena coupled with data transformation via dbt, and workflow orchestration with Kestra.

  aws-athenaaws-batchaws-glueaws-quicksightaws-s3dataengineeringdbt-clouddockerhacktoberfestkestraopen-apipostgrespythonsqlterraform
  Language:HCL 1

• RuFerdZ / Medical-X

  US Insurance cost predicting linear regression model. Mainly used to learn about Machine Learning tools in Amazon Web Services (AWS)

  automlawsaws-athenaaws-glueaws-quicksightaws-sagemakeretllinear-regression
  Language:Jupyter Notebook 1

• SadafAsad / LinkedIn-Jobs-Analysis

  Unveiling job market trends with Scrapy and AWS

  aws-athenaaws-ec2aws-glue-crawleraws-glue-data-catalogaws-quicksightaws-s3pythonscrapy
  Language:Python 1

• vbessonov / quicksight-embedding-test

  The testbed showing how to embed QuickSight dashboards into a web app

  awsaws-quicksightpythonflaskdocker
  Language:Python 1

• zakkipuar23 / Shipper_and_AWS_hackathon

  Put-away is one of the most crucial process in supply chain. If we misplace the goods, all of the rest process could be potentially delayed. That's why we choose this process to be improved by multiclassification machine learning model and dashboarding with AWS.

  awsaws-quicksightaws-sagemakermachine-learningwarehouse-management
  1

• ghfjd / youtube-veri-analizi-sunum

  Veri analizi hakkında hazırladığım sunum

  awsaws-athenaaws-lambdaaws-quicksightaws-s3data-analysiskaggle-datasetveri-analiziyoutube-data-analysisyoutube-dataset
  0

• reyhanhosavci / youtube-veri-analizi-sunum

  Veri analizi hakkında hazırladığım sunum

  awsaws-athenaaws-lambdaaws-quicksightaws-s3data-analysiskaggle-datasetveri-analiziyoutube-data-analysisyoutube-dataset
  0

• ali-bin-kashif / crypto-currency-data-pipeline

  A scalable crypto data pipeline that ingests from API, transforms, stores, and loads crypto currencies historical and intra day data using AWS services and Snowflake. Airflow orchestrates the entire pipeline and, CI/CD fully automated through GitHub Actions.

  airflowaws-lambdaaws-quicksightaws-s3cryptocurrencycryptocurrency-apidata-pipelinepythonredshiftsnowflake
  Language:Python

• aws-samples / sample-cost-per-transaction

  A cost intelligence solution that correlates application performance traces with Infrastructure costs, providing unprecedented transaction-level visibility to drive strategic business decisions.

  aws-amplifyaws-cost-exploreraws-glueaws-lambdaaws-quicksightaws-s3aws-x-ray
  Language:Python

• gps31320779 / insightflow-retail-economic-pipeline

  A data engineering portfolio project using AWS cloud services to analyze correlations between Malaysian retail performance and fuel prices. Features Terraform IaC, ETL/ELT with AWS S3, Glue, SQL analytics via Athena coupled with data transformation via dbt, and workflow orchestration with Kestra.

  aws-athenaaws-batchaws-glueaws-quicksightaws-s3dataengineeringdbt-clouddockerkestrapythonsqlterraform

• ishi720 / quicksight-backup-lambda

  QuickSightの分析とデータセットの設定をLambdaでバックアップする

  aws-lambdapython3github-actionsaws-quicksightaws-s3aws-cloudformation
  Language:Python

• suletetes / aws-rekognition-sentiment-analysis-athena-quicksight

  This project demonstrates an end-to-end, event-driven workflow for analyzing facial expressions in images using AWS Rekognition. Images are uploaded to S3, processed via Lambda, stored for querying in Athena, and visualized with QuickSight.

  awsaws-rekognitions3athenalambdaaws-quicksight
  Language:JavaScript

• tedilabs / terraform-aws-quicksight

  🌳 A sustainable Terraform Package to manage QuickSight resources on AWS

  awsaws-quicksightdevopshacktoberfesthcl2iaclang-hclsretedilabsterraformterraform-awsterraform-moduleterraform-modulesaws-data
  Language:HCL

• tuni56 / sales-analytics-aws

  Sales Analytics Dashboard using AWS

  analyticsdata-scienceetlaws-quicksightpython
  Language:Python