News

InfoWorld1d
Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...
GitHub3mon
AWS Athena ETL Pipeline for E-commerce Analytics - GitHub
In this project, we will be implementing ETL (Extract, Transform, Load) pipeline using Amazon Athena to process e-commerce transaction data. The workflow moves data from raw S3 storage ( bronze layer) ...
Scientific Research Publishing7mon
Optimizing Healthcare Big Data Processing with Containerized PySpark and Parallel Computing: A Study on ETL Pipeline Efficiency - Scientific Research Publishing
1. Introduction. In the rapidly evolving landscape of Big Data Engineering and Extract, Transform, Load (ETL) processes, the quest for efficiency stands as a pivotal pursuit .The volume, variety, and ...
Business Wire1y
AWS Announces Four Zero-ETL Integrations to Make Data Access and Analysis Faster and Easier Across Data Stores - Business Wire
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced new integrations that enable customers ...
GitHub2y
Data Lake and ETL Pipeline on AWS using Spark - GitHub
A music streaming startup, Sparkify, has grown their user base and song database even more and want to move their data warehouse to a data lake. Their data resides in S3, in a directory of JSON logs ...
SiliconANGLE3y
A new era of data: a deep look at how JPMorgan Chase runs a data mesh on the AWS cloud - SiliconANGLE
A new era of data is upon us. The technology industry generally and the data business specifically are in a state of transition. Even our language reflects that. For example, we rarely use the ...