This project builds a serverless data processing pipeline for analysing server logs stored in JSON format. The pipeline uses AWS services Lambda, S3, Glue, and CloudWatch. The project includes: ...

An interactive query service that simplifies analyzing data stored in Amazon S3. Can query data from the AWS Glue Data Catalog or other S3 buckets using standard SQL. Another Lambda function is ...

Data pipelines are essential for data science projects, as they enable you to collect, transform, and analyze data from various sources. However, designing and implementing a data ...

Work closely with business and product leaders, developers, architects, analysts and researchers oninnovation and early stage product development across the company. Create and maintain an optimal ...

Balancing Real-Time and Historical Insights Hybrid data pipeline architectures revolutionize data engineering by merging batch and real-time processing, addressing the dual demands of historical ...

Lekkala points to serverless and containerized architectures as drivers of agility and cost-effectiveness, particularly ...

According to David Mariani, founder and CTO of semantic layer platform AtScale, six principles form the foundation of modern data architecture: According to Data Management Book of Knowledge ...

keeping abreast of the latest architectural paradigms is essential for any IT data professional. This course offers a deep dive into the foundation and architecture of modern data platforms, ...

Annually, ArchDaily's curatorial team undertakes a rigorous selection process to identify exemplary projects in Latin American residential architecture. The goal is to share these works of ...