GitHub topics: aws-quicksight
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.
Size: 8.79 KB - Last synced at: about 3 hours ago - Pushed at: about 4 hours ago - Stars: 0 - Forks: 0
ghfjd/youtube-veri-analizi-sunum
Veri analizi hakkında hazırladığım sunum
Size: 1000 Bytes - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 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, fully automated through GitHub Actions.
Language: Python - Size: 192 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
aws-solutions/clickstream-analytics-on-aws
Clickstream Analytics on AWS source code
Language: TypeScript - Size: 72.4 MB - Last synced at: 13 days ago - Pushed at: 19 days ago - Stars: 78 - Forks: 26
KasparasPlayz/crypto-currency-data-pipeline
The "crypto-currency-data-pipeline" project collects and processes real-time cryptocurrency data from various exchanges. It transforms this data into a structured format for analysis and visualization, enabling users to track market trends effectively.
Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
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.
Language: HCL - Size: 672 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
aws-samples/bring-your-own-data-labs 📦
Bring your own data Labs: Build a serverless data pipeline based on your own data
Language: HTML - Size: 31.1 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 44 - Forks: 24
reyhanhosavci/youtube-veri-analizi-sunum
Veri analizi hakkında hazırladığım sunum
Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Srinivas39322/Predictive_Analysis_And_Visualization_Pipeline_Using_AWS
AWS Predictive Analytics Pipeline: End-to-end solution for scalable machine learning and visualization in finance using AWS S3, SageMaker, and QuickSight. 🚀📊
Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
gachokahassan/Visualize-Data-With-Amazon-QuickSight
Visualize Netflix's TV shows and movie trends using Amazon QuickSight. Includes dataset preparation, S3 integration, and an interactive dashboard for data insights.
Size: 3.22 MB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
lasyakonduru/superstore-sales-data-analysis
Analysis of sales performance and operational efficiency in a superstore using AWS Athena and QuickSight
Size: 2.25 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
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.
Language: Shell - Size: 6.22 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 0
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
Language: Python - Size: 137 KB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
SadafAsad/LinkedIn-Jobs-Analysis
Unveiling job market trends with Scrapy and AWS
Language: Python - Size: 562 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
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
Language: Shell - Size: 30.3 KB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0
Tyriek-cloud/NYC-Mobility-Survey-Analysis
An end-to-end data engineering project in which five NYC DOT datasets were modified in an ETL process and analyzed for insights.
Language: Python - Size: 2.75 MB - Last synced at: about 23 hours ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
vamsi2792/AWS_Visualize_data
Built a Comprehensive Dashboard using Amazon QuickSight for the Netflix dataset
Size: 4.14 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
mihirkudale/youtube-analysis-data-engineering-project
This project aims to securely manage, streamline, and perform analysis on the structured and semi-structured YouTube videos data based on the video categories and the trending metrics.
Language: Python - Size: 114 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 179 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
parth2050/aws-data-pipeline
An End-To-End data pipeline integration from Website Source to analytical dashboard in AWS using Python flask, ML models, DynamoDB and other AWS services.
Language: HTML - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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.
Language: JavaScript - Size: 7.78 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 5
Luunynliny/RTE-Consumption-Insights
Daily power consumption and production data retrieving and insights from France.
Language: Python - Size: 699 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
shogo452/aws-quicksight-tool
aws-quicksight-tool assists in the use of the AWS QuickSight CLI.
Language: Ruby - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1
RuFerdZ/Medical-X
US Insurance cost predicting linear regression model. Mainly used to learn about Machine Learning tools in Amazon Web Services (AWS)
Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 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.
Size: 873 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
dishadas168/demand-forecasting-ebay
A demand forecasting pipeline deployed on Azure and AWS
Language: Python - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2
byungjun0689/aws-glue-etl-sample-hist-2022
Batch datapipeline on aws using glue in 2022
Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
abduljaleel/workshop-appflow-athena-quicksight
AWS Programming and Tools meetup workshop
Size: 2.96 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0
byungjun0689/aws-glue-etl-sample-hist-2023
Batch datapipeline on aws using glue
Language: Python - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cevoaustralia/data-lake-demo
Data lake demo using change data capture (CDC) on AWS
Language: PLpgSQL - Size: 215 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 3
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.
Size: 3.11 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
JamesJJ/dmarc-report-ses-tsv
Convert DMARC reports to TSV (or CSV) format for easier analysis and visualisation
Language: Go - Size: 430 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
vbessonov/quicksight-embedding-test
The testbed showing how to embed QuickSight dashboards into a web app
Language: Python - Size: 87.9 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
AditModi/AWS-Business-Analysis-and-Prediction
Build machine learning-powered business intelligence analyses using Amazon QuickSight
Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 2
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
Language: Jupyter Notebook - Size: 8.79 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0
Sigrid242/AWS-Quicksight-Covid-19-Hospitalizations-Dashboard
Covid-19 hospitalization dashboard
Size: 175 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
ramyashreeshetty/youtube-data-analytics-pipeline
Dashboard generated using Python and AWS services
Language: Python - Size: 176 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
gakas14/car_insurance_with_aws
Get the dataset intro a S3 bucket, use AWS glue to transform the dataset, write a Lambda script to clean the dataset, query the dataset via AWS Athena then build a dashboard using AWS Quicksight.
Language: Python - Size: 1.11 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
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
Language: Python - Size: 36.1 KB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0
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.
Language: Python - Size: 15.6 KB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 1
pgplarosa/Data-Architecture-for-Tracking-COVID-Statistics-and-Sentiments
Data Engineering Final Project - June 23, 2022
Language: Python - Size: 4.09 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
mincloud1501/DevOps
DevOps에 대한 개념 이해와 AWS 개발자 도구를 활용한 실습 및 연구
Language: Java - Size: 3.21 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 1
tosh2230/aws-respice
Refresh Amazon QuickSight SPICE Datasets
Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
