Data Engineering with AI: ETL, Data Lakes, and Analytics

Introduction

AI can enhance data engineering by automating ETL processes, optimizing data pipelines, and improving data quality.

AI-Enhanced Data Engineering

// AI-powered ETL pipeline
class AIETLPipeline {
  async processData(rawData: RawData): Promise {
    const cleanedData = await this.aiModel.cleanData(rawData);
    const transformedData = await this.aiModel.transformData(cleanedData);
    const validatedData = await this.aiModel.validateData(transformedData);
    
    return validatedData;
  }
}
            

Bibliography

• Kleppmann, M. (2017). "Designing Data-Intensive Applications"
• Kimball, R., & Ross, M. (2013). "The Data Warehouse Toolkit"