kmlspktaa / data-engineering-projects-poc

STILL IN PORGRESS

data-analytics-poc

Streamlined Data Pipeline POC

Description

In this proof of concept (POC) project, we aim to demonstrate the effectiveness of a streamlined data pipeline for seamless data processing, integration, and analysis. Leveraging modern ETL techniques and cloud-based infrastructure, we'll showcase how this optimized pipeline accelerates data ingestion, transformation, and loading.

Key Objectives

1. Efficient Data Ingestion: Evaluate the speed and efficiency of data ingestion from multiple sources, including APIs, databases, and flat files.

2. Real-time Processing: Implement real-time processing capabilities to handle high-velocity data streams for immediate insights.

3. Data Quality Assurance: Integrate data quality checks and validations to ensure accuracy and reliability of the processed data.

4. Scalability and Performance: Assess the scalability of the pipeline to handle large volumes of data without compromising performance.

5. Automated Orchestration: Implement automation for pipeline orchestration, scheduling, and monitoring to minimize manual intervention.

6. Data Integration and Enrichment: Showcase the capability to integrate diverse data sets, enriching them with relevant contextual information.

7. Visualization and Reporting: Generate insightful visualizations and reports from the processed data to facilitate informed decision-making.

Technology Stack

• ETL Framework: Apache Airflow
• Data Processing: Apache Spark
• Data Storage: Azure,AWS
• Orchestration: Kubernetes, Docker
• Monitoring: Prometheus, Grafana
• Visualization: Power BI

Expected Outcomes

• Demonstrated reduction in data processing time by [X]%.
• Improved data quality with a decrease in anomalies by [Y]%.
• Scalability tested up to [Z]TB of data per day.
• Real-time processing achieving an average latency of [A] seconds.

Timeline

Poc on free times

Getting Started

1. Clone the repository:

git clone <repository_url>
cd <repository_name>


git commands
  git add .
  git commit -m "first commit"
  git branch -M main
  git remote add origin [email protected]:kmlspktaa/data-analytics-poc.git
  git push -u origin main