Tag: Data Engineering
Why Data Teams Struggle Without Separate Dev and Prod Environments
When development and production share the same data environment, even small changes can trigger costly outages. This article explains why separating dev and prod is foundational for reliable analytics, and how teams can do it without overengineering or blowing the budget.
Data Platform Cost Optimization: Practical Strategies for Query Performance, Storage, and Cloud Resource Management
Explore how you can dramatically reduce data platform costs without sacrificing performance. This guide breaks down actionable techniques across query tuning, incremental data loading, cloud resource management, and storage lifecycle design.
SAP Data Ingestion with Python: A Technical Breakdown of Using the SAP RFC Protocol
Streamline SAP data integration with Python by leveraging the RFC protocol. This interview with the lead engineer of a new SAP RFC Connector explores the challenges of large-scale data extraction and explains how a C++ integration improves stability, speed, and reliability for modern data workflows.
More tags:
- Access Management
- CI/CD
- Cloud Cost Management
- Data Engineering
- Data Governance
- Data Infrastructure
- Data Integration
- Data Platform
- Data Platform Optimization
- Dev vs Prod
- Entra ID
- Kubernetes
- Modern Data Stack
- Modularity
- Python
- Query Performance
- RBAC
- RFC Protocol
- SAP
- Security Architecture
- analytics workflow
- connectivity
- data ingestion
- data orchestration
- data pipelines
- data platform architecture
- data workflows
- dataops
- dlt
- elt
- elt process
- github actions
- google cloud platform
- governance
- networking
- orchestration
- pipelines
- prefect
- prefect worker
- productized data platform
- roles
- terraform
- workflow orchestration