Cloud Analytics on AWS using Glue & QuickSight

Rysun's Cloud Analytics on AWS with Glue & QuickSight helps leaders move from fragmented data to decision-ready insight. Rysun implements a production-grade pipeline and BI layer focused on speed, quality, and cost control.

Rysun Cloud Analytics on AWS with Glue & QuickSight moves organizations from fragmented, on-prem analytics to a governed, scalable cloud stack that senior leaders can trust for timely decisions. We deliver a production-grade data pipeline and BI layer built for speed, quality, security, and cost control.

Data engineering with AWS Glue We land raw data from on-prem systems into Amazon S3 (bronze), standardize and deduplicate into curated tables (silver), and publish enriched, analytics-ready datasets (gold). We orchestrate end-to-end with Glue Workflows, implement schema evolution, data quality rules, and automated retries, and monitor operations with Amazon CloudWatch.

Analytics with Amazon QuickSight We define executive KPIs, build dashboards with drilldowns, and enable governed self-service. We right-size SPICE capacity, tune refresh cadence, and push down heavy queries to the data layer for performance and cost efficiency. Row-level security (RLS) ensures secure scale across teams and business units.

Security and governance We enforce least-privilege access with AWS IAM and optional database RBAC, encrypt data in transit and at rest (TLS, AWS KMS), and maintain cataloging and lineage via AWS Glue Data Catalog. Centralized logs through AWS CloudTrail and CloudWatch support audit readiness.

Operations and reliability We implement production scheduling, dependency management, error handling, and alerting, and provide runbooks and handover so your teams can operate confidently post go-live. Optional hypercare coverage is available.

Performance and cost optimization We apply partitioning and file layout best practices on S3, efficient Glue job design, and QuickSight dataset design, SPICE sizing, and refresh strategies that reduce BI run costs while meeting SLA.

Proven ROI In a recent proof of concept migrating an on-prem data warehouse and BI stack to AWS, Rysun observed approximately 40% lower total run and operate cost (infrastructure plus maintenance and support). Drivers included serverless ETL on AWS Glue, right-sized storage and compute, optimized QuickSight SPICE usage and refresh cadence, and reduced on-prem support overhead.